CN116299546A - Laser imaging and defending method and system based on correlated Hartmann - Google Patents
Laser imaging and defending method and system based on correlated Hartmann Download PDFInfo
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Abstract
The invention provides a laser imaging and defending method and system based on related Hartmann, wherein the method comprises the following steps: after passive target signals are acquired, tracking and locking the passive targets through a target tracking algorithm, receiving reflected light of the passive targets, performing optical antenna beam-shrinking coupling on the reflected light, performing wavefront detection on the coupled reflected light through relevant Hartmann, acquiring a Hartmann image, performing wavefront restoration according to the Hartmann image, performing self-adaptive correction on the reflected light, imaging the corrected reflected light, and performing beam-expanding focusing on laser along a reversible light path of the reflected light on the surface of the passive targets. The invention can realize the extraction of the wave front information of the passive target, and avoid the influence of atmospheric turbulence on the light beam, thereby achieving the purposes of imaging and laser emission near the diffraction limit and improving the imaging quality and the laser defense quality of the passive target.
Description
Technical Field
The invention relates to the technical field of beam control in optical instruments, in particular to a laser imaging and defending method and system based on related Hartmann.
Background
Passive target detection refers to estimating the motion state of a target by only using electromagnetic waves or acoustic wave signals passively received by a sensor. The passive target tracking has strong concealment because the signal is not emitted externally, but the tracking precision and the convergence degree of the target are reduced due to the reduction of observability, and the target tracking method can be applied to the military field and can be used for unexpectedly striking the target.
When a passive target is detected by the traditional point source Hartmann, a point source beacon needs to be given out at the target position to work normally, and the passive target often cannot provide a high-brightness point source target, so that the adaptive optical correction system based on the traditional point source Hartmann cannot play a role in a laser defense system and passive target imaging. In addition, the atmospheric turbulence change existing between the imaging system and the observation target can reduce imaging resolution and beam quality to a certain extent, so that problems of target image blurring, beam drift, jitter, diffusion and the like are caused. Therefore, conventional passive target imaging and laser defense quality are poor and the intended effect cannot be achieved.
Therefore, a laser imaging and defense method capable of extracting wavefront information of a passive target and improving laser imaging quality and laser defense quality is needed.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a related Hartmann-based laser imaging and defense method and system.
A laser imaging and defending method based on related Hartmann comprises the following steps: acquiring a passive target signal, and tracking and locking the passive target through a target tracking algorithm; receiving reflected light of the passive target, and performing optical antenna beam-shrinking coupling on the reflected light; performing wavefront detection on the coupled reflected light through related Hartmann, obtaining a Hartmann image, performing wavefront restoration according to the Hartmann image, and performing self-adaptive correction on the reflected light; imaging the corrected reflected light, and expanding and focusing the laser beam to the passive target surface along a reversible light path of the reflected light.
In one embodiment, the target tracking algorithm is any one of cross-correlation algorithms.
In one embodiment, the performing wavefront detection on the coupled reflected light through related hartmann, obtaining a hartmann image, performing wavefront restoration on the hartmann image, and performing adaptive correction on the reflected light, including: performing wavefront detection on the coupled reflected light in a related Hartmann manner to obtain a Hartmann image, wherein the Hartmann image comprises a plurality of sub-response graphs, and the sub-response graphs correspond to sub-apertures; selecting a template image from the plurality of sub-response graphs through a cosine window, and performing cross-correlation operation on the template image and the plurality of sub-response graphs respectively, or performing cross-correlation operation on the template image and the Hartmann image; acquiring position information of a corresponding sub-response diagram or Hartmann image through the cross-correlation operation; sub-pixel interpolation is carried out on the sub-response graph or the Hartmann image according to the position information, the slope of the sub-aperture is extracted, and a slope matrix is constructed according to the slope of the sub-aperture; and performing wavefront restoration on the Hartmann image through the slope matrix, and performing self-adaptive correction on the coupled reflected light.
In one embodiment, the obtaining the position information of the corresponding sub-response map or the hartmann image through the cross-correlation operation includes: calculating the template image and a plurality of sub-response graphs or the template image and a Hartmann image through the cross-correlation operation to obtain a corresponding regression sub-response graph or regression response graph, wherein the cross-correlation operation adopts any one algorithm of cross-correlation algorithms; and traversing and searching the regression sub-response graph or the regression response graph, acquiring a pixel maximum value, and storing position information corresponding to the pixel maximum value.
In one embodiment, the sub-pixel interpolation is performed on the corresponding sub-response graph according to the location information, the slope of the sub-aperture is extracted, and a slope matrix is constructed according to the slope of the sub-aperture, including: sub-pixel fitting is carried out according to the position information, and sub-pixel offset is obtained; combining the original pixels of the sub-response diagram with the sub-pixel offset to obtain a restored pixel value, and acquiring a corresponding sub-pixel precision coordinate position according to the restored pixel value; and constructing and obtaining slope matrixes of all sub-apertures according to the sub-pixel precision coordinate positions of all sub-response graphs.
In one embodiment, the adaptive correction adopts a mode method or a direct slope method to perform adaptive correction control on the restored Hartmann image.
A laser imaging and defending system based on related hartmann, which is used for realizing the laser imaging and defending method based on related hartmann, comprising the following steps: the system comprises a tracking subsystem, an optical antenna subsystem, an adaptive optical calibration subsystem, an imaging subsystem and a laser emission subsystem, wherein the tracking subsystem, the optical antenna subsystem, the adaptive optical calibration subsystem, the imaging subsystem and the laser emission subsystem are electrically connected, and the optical antenna subsystem, the adaptive optical calibration subsystem and the imaging subsystem are optically coupled; the tracking subsystem is used for tracking and locking the passive target by adopting a target tracking algorithm; the optical antenna subsystem is used for receiving the reflected light of the passive target and condensing the reflected light to be coupled to the adaptive optical correction subsystem; the self-adaptive optical correction subsystem is used for carrying out wavefront detection and restoration on the passive target through the coupled reflected light, carrying out self-adaptive correction on the coupled reflected light, and focusing the laser beam expansion of the laser emission subsystem to the passive target; the imaging subsystem is used for carrying out passive target imaging on the reflected light; the laser emission subsystem is used for emitting laser and adopts the principle of reversible light path to enable the laser to generate a focusing light spot on the surface of the passive target.
In one embodiment, the adaptive optics correction subsystem includes an associated Hartmann wavefront sensor, a wavefront corrector, and a control driver, the associated Hartmann wavefront sensor, wavefront corrector, and control driver being electrically connected; the related Hartmann sensor is used for carrying out wave front detection on the passive target to obtain a Hartmann image; the wavefront corrector is used for carrying out wavefront restoration on the Hartmann image and carrying out self-adaptive correction on the reflected light.
In one embodiment, the wavefront corrector is a spatial light modulator or a deformable mirror.
In one embodiment, the adaptive optics correction subsystem further includes a tilt tracking sensor and a wavefront tilt corrector for high frequency tilt aberration correction.
Compared with the prior art, the invention has the advantages that: after passive target signals are acquired, tracking and locking the passive targets through a target tracking algorithm, receiving reflected light of the passive targets, performing optical antenna beam-shrinking coupling on the reflected light, performing wavefront detection on the coupled reflected light through relevant Hartmann, acquiring a Hartmann image, performing wavefront restoration according to the Hartmann image, performing self-adaptive correction on the reflected light, imaging the corrected reflected light, and performing beam-expanding focusing on laser along a reversible light path of the reflected light on the surface of the passive targets. The invention can realize the extraction of the wave front information of the passive target, and avoid the influence of atmospheric turbulence on the light beam, thereby achieving the purposes of imaging and laser emission near the diffraction limit and improving the imaging quality and the laser defense quality of the passive target.
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FIG. 1 is a flow chart of a related Hartmann-based laser imaging and defense method according to one embodiment;
fig. 2 is a schematic structural diagram of a related hartmann-based laser imaging and defense system according to one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail by the following detailed description with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In one embodiment, as shown in fig. 1, a related Hartmann-based laser imaging and defense method is provided, which includes the following steps:
step S101, a passive target signal is acquired, and tracking and locking are carried out on the passive target through a target tracking algorithm.
Specifically, after electromagnetic wave or acoustic wave signals of the passive target are received by the sensor, tracking and locking are performed on the passive target based on a target tracking algorithm, wherein the target tracking algorithm can adopt any one of a MOSSE algorithm, a KCF algorithm or a DSST algorithm, and the off-target quantity, namely the offset, of the passive target can be obtained, so that accurate tracking and locking of the passive target are realized.
Wherein the target tracking algorithm is any one of cross-correlation algorithms. For example, the MOSSE algorithm, the KCF algorithm, or the DSST algorithm.
For example, when the KCF algorithm is adopted, the formula for solving the target position of the passive target is:
wherein x is a template image, z is an image to be detected, and k is xx Is an x autocorrelation kernel, k xz Is the kernel correlation of x and z, lambda represents the frequency domain of the variable after Fourier transformation, lambda is a regularized term; respectively carrying out inverse Fourier transform on the two sides of the model to obtain regression response; taking the pixel position corresponding to the maximum value of f (z) or the sub-pixel position corresponding to the maximum value after fitting as the target position.
In one embodiment, the tracking and locking of the passive target also needs to be controlled in a closed loop by adopting a PID algorithm, and the control signals are as follows:
wherein U (t) is an actuator control signal, err (t) is the off-target quantity given by a tracking algorithm.
Step S102, receiving reflected light of the passive target, and performing optical antenna beam-shrinking coupling on the reflected light.
Specifically, after the passive target is detected, reflected light of the passive target can be received, and the reflected light is subjected to beam shrinking coupling so as to transmit the coupled reflected light to the adaptive correction system and perform adaptive correction on the emitted light.
Step S103, performing wavefront detection on the coupled reflected light through related Hartmann, obtaining a Hartmann image, performing wavefront restoration on the Hartmann image, and performing self-adaptive correction on the reflected light.
The method comprises the steps of carrying out cross-correlation operation on images in one sub-aperture and images in other sub-apertures by adopting related Hartmann, carrying out sub-pixel interpolation through cross-correlation output positions, extracting the slope of each sub-aperture, carrying out wavefront restoration through matrix operation, obtaining a restored Hartmann image, solving the problem that the traditional point source Hartmann cannot carry out wavefront calculation, and realizing the extraction of the wavefront information of a passive target; and finally, correcting the reflected light by an adaptive optical correction method, thereby achieving the purpose of near diffraction limit imaging.
Wherein, step S103 includes: performing wavefront detection on the coupled reflected light in a related Hartmann mode to obtain a Hartmann image, wherein the Hartmann image comprises a plurality of sub-response graphs, and the sub-response graphs correspond to sub-apertures; selecting a template image from the plurality of sub-response images through a cosine window, and performing cross-correlation operation on the template image and the sub-response images respectively, or performing cross-correlation operation on the template image and the Hartmann image; acquiring position information of a corresponding sub-response diagram or Hartmann image through cross-correlation operation; sub-pixel interpolation is carried out on the sub-response diagram or the Hartmann image according to the position information, the slope of the sub-aperture is extracted, and a slope matrix is constructed according to the slope of the sub-aperture; and performing wavefront restoration on the Hartmann image through a slope matrix, and performing self-adaptive correction on the coupled reflected light.
Specifically, performing wavefront detection on the coupled reflected light in a related Hartmann manner to obtain a Hartmann image, wherein the Hartmann image comprises a plurality of sub-response diagrams, and the sub-response diagrams correspond to sub-apertures; selecting one sub-response diagram from the plurality of sub-response diagrams in a cosine window mode, taking the sub-response diagram as a template image, performing cross-correlation operation on the template image and other sub-response diagrams respectively, and directly performing cross-correlation operation on the template image and a Hartmann image to obtain corresponding position information; sub-pixel interpolation is carried out on the corresponding sub-response diagram or Hartmann image according to the position information, the slope of each sub-aperture is obtained, a slope matrix is obtained through construction, wavefront restoration is carried out on the Hartmann image through slope matrix combination matrix operation, self-adaptive correction is carried out on coupled reflected light, and wavefront information extraction of a passive target is achieved, so that the purposes of near diffraction limit imaging and laser emission are achieved, and the imaging quality and the laser defense quality of the passive target are improved.
In one embodiment, the template image is selected through a cosine window, the formula is:
where M and N represent the coordinates of the window function, respectively, and M and N represent the size of the template, respectively.
The step of obtaining the position information of the corresponding sub-response map or Hartmann image through the cross-correlation operation comprises the following steps: calculating a template image and a plurality of sub-response graphs or a template image and a Hartmann image through cross-correlation operation, and obtaining a corresponding regression sub-response graph or regression response graph, wherein the cross-correlation operation adopts any one of cross-correlation algorithms; and traversing and searching a regression sub-response diagram or a regression response diagram, acquiring a pixel maximum value, and storing position information corresponding to the pixel maximum value.
Specifically, the cross-correlation operation can be realized through space domain cross-correlation operation, or through frequency domain cross-correlation operation, any one of cross-correlation algorithm, such as MOSSE algorithm, KCF algorithm or other cross-correlation algorithm is adopted, the template image and other sub-response images or the template image and Hartmann image are calculated to obtain a corresponding regression sub-response image or regression response image, all regression sub-response images or regression response images are traversed, the maximum value of the pixel is obtained through searching, and the position information corresponding to the maximum value of the pixel is stored, so that the Hartmann image is subjected to wave front restoration and self-adaptive correction according to the position information, the problem that the traditional point source Hartmann cannot perform wave front solution is solved, and the extraction of the passive target wave front information is realized.
In one embodiment, the KCF algorithm is used to calculate the sub-aperture tilt, and the template image and the hartmann image are used to perform a cross-correlation operation, so that the equation for solving the sub-aperture tilt is:
wherein x is H For Hartmann template image, z H For the hartmann image to be detected,
is x H Autocorrelation kernel>
Is x H And z H Is the frequency domain of the variable after Fourier transformation, and lambda is a regularized term; respectively carrying out inverse Fourier transform on the two sides of the graph to obtain a regression sub-response graph; and traversing to search the maximum value of the pixel of each sub-aperture, and storing the position information of the maximum value of the pixel.
Wherein, the step of obtaining the slope matrix is: sub-pixel fitting is carried out according to the position information, and sub-pixel offset is obtained; combining the original pixels of the sub-response diagram with sub-pixel offset to obtain a restored pixel value, and acquiring a corresponding sub-pixel precision coordinate position according to the restored pixel value; and constructing and obtaining slope matrixes of all sub-apertures according to the sub-pixel precision coordinate positions of all sub-response graphs.
Specifically, sub-pixel fitting is performed according to the position information of the maximum value of the pixel, sub-pixel offset is obtained, the original pixel of the sub-response diagram is added to the calculated sub-pixel offset, a restored pixel value is obtained, corresponding sub-pixel precision coordinate positions are obtained according to the restored pixel value, and slope matrixes are obtained by combining the sub-pixel precision coordinate positions of all the sub-response diagrams, so that the obtained slope matrixes are more prepared, and the accuracy of wavefront restoration is improved.
The formula of the subpixel fitting can be:
T＝2·I n -I n-1 -I n+1
wherein I is n For maximum pixel value, I n-1 For the pixel value of the subsequent coordinate of the coordinate corresponding to the maximum value of the pixel, I n+1 And F is the sub-pixel offset for the pixel value of the previous coordinate of the coordinate corresponding to the maximum value of the pixel.
The self-adaptive correction adopts a mode method or a direct slope method to carry out self-adaptive correction control on the restored Hartmann image.
Specifically, the adaptive correction method can control the wavefront corrector by using a mode method or a direct slope method, the adaptive wavefront corrector can control the deformable mirror or the spatial light modulator by using the direct slope method to correct, and if the number of effective driving units of the wavefront corrector is n, the measured aberration voltage vector can be arranged as v= [ V ] 1 ，v 2 ，...v n ] T After the response matrix a is measured, the voltage vector is calculated by the least square method:
V＝A + G
wherein A is + Is the inverse matrix or generalized inverse matrix of a. The voltage vector is used as input to obtain a deformable mirror control voltage vector for closed-loop control by adopting a PID algorithm, a fuzzy PID algorithm, a self-adaptive PID algorithm or a nonlinear control algorithm.
Step S104, imaging the corrected reflected light, and expanding and focusing the laser beam to the passive target surface along the reversible light path of the reflected light.
Specifically, the corrected reflected light can provide a wavefront close to ideal imaging, so that the imaging of a passive target is realized, the purpose of near diffraction limit imaging is achieved, and the imaging quality is improved; meanwhile, laser can be expanded and focused to the surface of a passive target along a reversible light path of reflected light, the quality of the laser beam can be optimized through self-adaptive optical correction, light spots with higher energy density are generated on the surface of the passive target, laser emission near the diffraction limit is realized, and the laser defense quality is improved.
In this embodiment, after a passive target signal is acquired, tracking and locking are performed on the passive target through a target tracking algorithm, reflected light of the passive target is received, optical antenna beam shrinking coupling is performed on the reflected light, wavefront detection is performed on the coupled reflected light through relevant Hartmann, a Hartmann image is acquired, wavefront restoration is performed according to the Hartmann image, adaptive correction is performed on the reflected light, imaging is performed on the corrected reflected light, and laser beam expansion focusing is performed on the surface of the passive target along a reversible optical path of the reflected light. The invention can realize the extraction of the wave front information of the passive target, and avoid the influence of atmospheric turbulence on the light beam, thereby achieving the purposes of imaging and laser emission near the diffraction limit and improving the imaging quality and the laser defense quality of the passive target.
As shown in fig. 2, a related Hartmann-based laser imaging and defense system 20 is provided for implementing the related Hartmann-based laser imaging and defense method, which includes: a tracking subsystem 21, an optical antenna subsystem 22, an adaptive optics correction subsystem 23, an imaging subsystem 24, and a laser emission subsystem 25; the tracking subsystem 21, the optical antenna subsystem 22, the adaptive optical correction subsystem 23, the imaging subsystem 24 and the laser emission subsystem 25 are electrically connected, and the optical antenna subsystem, the adaptive optical correction subsystem and the imaging subsystem are optically coupled; the tracking subsystem 21 is used for tracking and locking the passive target; the optical antenna subsystem 22 is configured to receive the reflected light of the passive target and to shrink the reflected light beam and couple the reflected light beam to the adaptive optics correction subsystem 23; the adaptive optical correction subsystem 23 is used for performing wavefront detection and restoration on the passive target, performing adaptive correction on the coupled reflected light, and focusing the laser beam of the laser emission subsystem 25 on the passive target; the imaging subsystem 24 is used for passive target imaging of the reflected light; the laser emission subsystem 25 is used for emitting laser and adopts the principle that the optical path is reversible to enable the laser to generate a focusing spot on the surface of the passive target.
In this embodiment, after receiving the passive target signal, tracking and locking the passive target by using a target tracking algorithm through the tracking subsystem 21, receiving reflected light of the passive target through the optical antenna subsystem 22, condensing the reflected light, coupling the condensed light to the adaptive optical correction subsystem 23, performing wavefront detection and restoration on the passive target by the adaptive optical correction subsystem 23 through the condensed reflected light, performing adaptive correction on the coupled reflected light, extracting wavefront information of the passive target, and obtaining accurate optical information through restoration and correction, thereby being beneficial to high-precision imaging according to the optical information, and in addition, being capable of being used for expanding laser beam of the laser emission subsystem 25 to the passive target to realize laser emission correction; the imaging subsystem 24 is used for carrying out passive target imaging on the corrected reflected light, so that imaging of a near diffraction limit is realized, and the imaging quality of the passive target is improved; the laser emission subsystem 25 emits laser and adopts the principle of reversible light path, so that the emitted laser generates a focusing light spot on the surface of a passive target, the laser emission near the diffraction limit is realized, and the laser defense quality is improved.
Wherein the adaptive optics correction subsystem 23 comprises an associated Hartmann sensor, a wavefront corrector, and a control driver, the associated Hartmann wavefront sensor, the wavefront corrector, and the control driver being electrically connected; the related Hartmann sensor is used for carrying out wave front detection on a passive target to obtain a Hartmann image; the wavefront corrector is used for carrying out wavefront restoration on the Hartmann image and carrying out self-adaptive correction on reflected light.
Specifically, the problem that the traditional point source Hartmann cannot perform wavefront calculation can be solved through the relevant Hartmann wavefront sensor, the extraction of the wavefront information of the passive target is realized, the wavefront correction and the self-adaptive correction are performed on the Hartmann image through the wavefront corrector, so that the optical information with higher precision is obtained, and the imaging and the laser emission of the passive target are facilitated.
Wherein the wavefront corrector is a spatial light modulator or a deformable mirror.
Specifically, the wavefront corrector may employ a spatial light modulator or a deformable mirror, where the spatial light modulator can modulate a certain parameter of the light field through liquid crystal molecules under active control, for example, modulate the amplitude of the light field, modulate the phase through refractive index, modulate the polarization state through rotation of the polarization plane, or implement conversion of incoherent-coherent light, so as to write certain information into the light wave, thereby achieving the purpose of light wave modulation. The deformable mirror is mainly applied to various self-adaptive optical systems, and the phase structure of the incident light wave front is changed by changing the light path of the light wave front transmission or changing the refractive index of a transmission medium, so that the purpose of correcting the phase of the light wave surface is achieved.
Wherein the adaptive optics correction subsystem 23 further comprises a tilt tracking sensor and a wavefront tilt corrector for high frequency tilt aberration correction.
Specifically, since there may be information about the inclination of the light beam during the transmission, in order to improve the accuracy of the light beam, an inclination tracking sensor or a wavefront inclination corrector may be further disposed in the adaptive optical correction subsystem 23 to correct the inclination amount of the light beam, thereby realizing high-accuracy wavefront inclination correction.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be centralized on a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by computing devices, such that they may be stored on a computer storage medium (ROM/RAM, magnetic or optical disk) for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than what is shown or described herein, or they may be individually manufactured as individual integrated circuit modules, or a plurality of modules or steps in them may be manufactured as a single integrated circuit module. Therefore, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a further detailed description of the invention in connection with specific embodiments, and is not intended to limit the practice of the invention to such descriptions. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.
Claims (10)
1. A related hartmann-based laser imaging and defense method, comprising:
acquiring a passive target signal, and tracking and locking the passive target through a target tracking algorithm;
receiving reflected light of the passive target, and performing optical antenna beam-shrinking coupling on the reflected light;
performing wavefront detection on the coupled reflected light through related Hartmann, obtaining a Hartmann image, performing wavefront restoration according to the Hartmann image, and performing self-adaptive correction on the reflected light;
imaging the corrected reflected light, and expanding and focusing the laser beam to the passive target surface along a reversible light path of the reflected light.
2. The laser imaging and defending method based on correlated hartmann according to claim 1, wherein the target tracking algorithm is any one of cross correlation algorithms.
3. The method for imaging and defending a laser beam based on relative Hartmann according to claim 1, wherein the performing wavefront detection on the coupled reflected light by relative Hartmann, obtaining a Hartmann image, performing wavefront restoration on the Hartmann image, and performing adaptive correction on the reflected light, includes:
performing wavefront detection on the coupled reflected light in a related Hartmann manner to obtain a Hartmann image, wherein the Hartmann image comprises a plurality of sub-response graphs, and the sub-response graphs correspond to sub-apertures;
selecting a template image from the plurality of sub-response graphs through a cosine window, and performing cross-correlation operation on the template image and the plurality of sub-response graphs respectively, or performing cross-correlation operation on the template image and the Hartmann image;
acquiring position information of a corresponding sub-response diagram or Hartmann image through the cross-correlation operation;
sub-pixel interpolation is carried out on the sub-response graph or the Hartmann image according to the position information, the slope of the sub-aperture is extracted, and a slope matrix is constructed according to the slope of the sub-aperture;
and performing wavefront restoration on the Hartmann image through the slope matrix, and performing self-adaptive correction on the coupled reflected light.
4. The method for performing laser imaging and defense based on related Hartmann according to claim 3, wherein the obtaining the position information of the corresponding sub-response map or Hartmann image through the cross-correlation operation includes:
calculating the template image and a plurality of sub-response graphs or the template image and a Hartmann image through the cross-correlation operation to obtain a corresponding regression sub-response graph or regression response graph, wherein the cross-correlation operation adopts any one algorithm of cross-correlation algorithms;
and traversing and searching the regression sub-response graph or the regression response graph, acquiring a pixel maximum value, and storing position information corresponding to the pixel maximum value.
5. The method of claim 3 or 4, wherein the sub-pixel interpolation is performed on the corresponding sub-response map according to the location information, the slope of the sub-aperture is extracted, and a slope matrix is constructed according to the slope of the sub-aperture, and the method comprises:
sub-pixel fitting is carried out according to the position information, and sub-pixel offset is obtained;
combining the original pixels of the sub-response diagram with the sub-pixel offset to obtain a restored pixel value, and acquiring a corresponding sub-pixel precision coordinate position according to the restored pixel value;
and constructing and obtaining slope matrixes of all sub-apertures according to the sub-pixel precision coordinate positions of all sub-response graphs.
6. A related hartmann-based laser imaging and defense method as claimed in claim 3 wherein the adaptive correction is performed by a mode method or a direct slope method, and the recovered hartmann image is adaptively corrected.
7. A related hartmann-based laser imaging and defense system for implementing the related hartmann-based laser imaging and defense method of any one of claims 1 to 6, comprising:
the system comprises a tracking subsystem, an optical antenna subsystem, an adaptive optical calibration subsystem, an imaging subsystem and a laser emission subsystem, wherein the tracking subsystem, the optical antenna subsystem, the adaptive optical calibration subsystem, the imaging subsystem and the laser emission subsystem are electrically connected, and the optical antenna subsystem, the adaptive optical calibration subsystem and the imaging subsystem are optically coupled;
the tracking subsystem is used for tracking and locking the passive target by adopting a target tracking algorithm;
the optical antenna subsystem is used for receiving the reflected light of the passive target and condensing the reflected light to be coupled to the adaptive optical correction subsystem;
the self-adaptive optical correction subsystem is used for carrying out wavefront detection and restoration on the passive target through the coupled reflected light, carrying out self-adaptive correction on the coupled reflected light, and focusing the laser beam expansion of the laser emission subsystem to the passive target;
the imaging subsystem is used for passively imaging the reflected light;
the laser emission subsystem is used for emitting laser and adopts the principle of reversible light path to enable the laser to generate a focusing light spot on the surface of the passive target.
8. The system of claim 7, wherein the adaptive optics correction subsystem comprises an associated hartmann wavefront sensor, a wavefront corrector, and a control driver, the associated hartmann wavefront sensor, wavefront corrector, and control driver being electrically connected to each other; the related Hartmann sensor is used for carrying out wave front detection on the passive target to obtain a Hartmann image; the wavefront corrector is used for carrying out wavefront restoration on the Hartmann image and carrying out self-adaptive correction on reflected light.
9. The system of claim 8, wherein the wavefront corrector is a spatial light modulator or deformable mirror.
10. The related hartmann-based laser imaging and defense system of claim 8, wherein the adaptive optics correction subsystem further comprises a tilt tracking sensor and a wavefront tilt corrector for high frequency tilt aberration correction.
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| CN116931283B (en) * | 2023-07-18 | 2024-05-24 | 中国人民解放军国防科技大学 | Photoelectric imaging system with laser protection function |
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