CN109029368A - Remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation - Google Patents
Remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
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Abstract
The present invention provides a kind of post-processing approach of application remote sensing image/synthetic aperture radar (synthetic aperture radar, SAR) image progress culture point geometry location.For using remote sensing image or SAR Extraction of Image topographical surface feature spatial positional information, positional accuracy is unable to satisfy the status of the applications such as big, medium scale mapping, according to Ground Point image space coordinate and object coordinates nonlinear mapping function, establish the error equation of its linearisation, contain error (errors-in-variables in application variables, EIV model parameter estimation theory) establishes a whole set of process flow and method according to Digital Image Capturing topographical surface feature high-precision spatial position.The present invention is suitable for star-loaded optical remote sensing and the block adjustment data processing of satellite-borne SAR digitized video, can effectively solve the problem that the not high problem of its positioning accuracy.
Description
Technical field
The present invention relates to space photogrammetry, mapping, the acquisitions for calculating the Ground Point geometric coordinate that the industries such as mathematics are related to
Method and its accuracy assessment, and in particular to remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation.
Background technique
Carrying out Ground Point geometry location using Satellite imagery/satellite-borne SAR image is Spatial Information Technology in ground scholarship and moral conduct
The important application of industry, in recent years, with the construction of China's high-resolution earth observation systems, application space information technology obtains ground
Table point can become the technical way that geographic information data obtains.Meanwhile existing Applied Photography measure theory and technology into
Row Ground Point geometry location needs to carry out extensive surface control measurement, resolves earth's surface point by collinearity equation.Its defect is
Work flow is complicated, needs to know the relevant parameter of hardware device during data processing, also, can not lack earth's surface
The overseas area at control point or the ruthless area that can not carry out earth's surface operation carry out production operation.The biography of photogrammetric operation
System is theoretical to can not meet people to high-precision, the efficient needs for obtaining geospatial information with process.
Summary of the invention
The purpose of the present invention is: design a kind of remote sensing image/SAR image high-precision geometry location post-processing of image space compensation
Existing photogrammetric work flow is improved and simplified to method, establishes a kind of Pillarless caving or rare ground control point condition
Under, remote sensing image/SAR image high-precision geometry location post-processing approach with EIV data processing model is compensated based on image space,
The Ground Point geometry point that application category is not limited solely to space flight digitized video is extracted, and aerophotogrammetry correlation is also applied for
The processing of digitized video.
The principle of the present invention is: according to rational function model (rational function model, RFM)) establish picture
Linear mapping relation between point coordinate and object point coordinate is established using the mapping model of linearisation with picpointed coordinate and object point coordinate
For observation, with the correction of mapping function parameter in image accompanying document (rapid position capability, RPC)
It is variable with object point coordinate corrective value, establishes while taking into account the EIV parameter model of picpointed coordinate Yu object point coordinate survey error, change
Influence of the positive system error to RPC parameter realizes remote sensing image or SAR image area by the accurate compensation to image image space
Domain net high-precision adjustment improves the precision that Ground Point bit space coordinate is interpreted by digitized video.
The technical solution of the invention is as follows: by the mapping relations between EIV model construction picpointed coordinate and object point coordinate,
RPC initial parameter values linearize RFM function in image application accompanying document, analyze the morbid state of the mapping relations model of building
Property and Robustness least squares, while guaranteeing model parameter estimation accuracy, establish by picpointed coordinate resolve object point coordinate earth's surface point
Model resolves process with it.Then, it using by the higher image of positioning accuracy in the digitized video of different Space-bornes, is divided into
The virtual same place constructed by different elevation faces positions, the foundation of orientation using virtual control point of the same name as whole region net, by
The EIV model of RFM carries out multi-source digitized video block adjustment.
Wherein, specific step is as follows for this method:
Step1. RPC parameter letter in star-loaded optical remote sensing stereogram or satellite-borne SAR interference image, image accompanying document is obtained
Breath, cloth survey field operation and control net；
Step2. the quality of image checks, and control net precision quality checks；
Step3. using the picpointed coordinate of same place and object point coordinate, RPC parameter value is checked according to RFM function, and carry out to it
Precision evaluation；
Step4. the linearisation that RFM function is carried out using RPC parameter in accompanying document as initial value, constructs EIV model, and to building
RFM function EIV model existing for pathosis, Robustness least squares evaluated；
Step5. take EIV model pathosis into account, the RFM function parameter unbiased esti-mator that the factor of Robustness least squares influences；
Step6. the same place picpointed coordinate and object point error of coordinate of image space compensation are corrected, digitized video block adjustment model
Building；
Step7. without under ground control or rare ground control condition, the overall adjustment of multi-source Remote Sensing Images.
In Step1, the acquisition of digitized video had both included the number that homologous space remote sensing platform or satellite-borne SAR platform obtain
Image constructs stereogram/interference image pair, also includes that not homologous digitized video constructs stereogram/interference image pair；Control screen cloth
If being to obtain same place image space coordinate and object coordinates, measured using the measurement of GNSS static cost control or RTK, operation mode is by number
Image resolution judgement.
In Step2, image quality, which checks, to be stressed to check image resolution, using stable state weight imaging geometry mould
Type repairs raw video, while establishing RFM model；Terrestrial net adjustment and precision evaluation, the precision for controlling net are commented
Valence had both included the precision of inner coincidence evaluation between control point, also included that the outer of newly-increased control point and target-based coordinate system control point is netted in control
Meet precision evaluation；Ground control point coordinate is used as image geometry positioning accuracy Appreciation gist simultaneously.
In Step3, accuracy assessment is carried out to RPC parameter in image accompanying document, precision index is to miss in the parameter of statistics
Difference detects the systematic error that may contain in RPC parameter in conjunction with RFM function and probabilistic method.
In Step4, after testing and to meet in the accompanying document of required precision that RPC parameter is initial value, using Taylor's grade
It is several that nonlinear RFM is linearized, analyze the RFM rounding error of different series expansions；By the Gauss Markov of RFM
It is the EIV model for taking model coefficient matrix error into account that error model (Gauss-Markov model, G-M), which is expanded, according to
The relevant prior information of the image calculated in Step1-Step3 determines the stochastic model of EIV model.
In Step5, the conditional number of the EIV modelling matrix of RFM is differentiated, its method conditioned matrix when determining model morbid state
Several critical values；The building of the strategy and Regularization function of ill RFM model regularization；The EIV model Robustness least squares of RFM are analyzed,
The maximum collapse rate for determining model constructs the Robust filter strategy of model；The stochastic models such as fusion minimum variance estimate are estimated after testing
Calculating method establishes the unbiased esti-mator iterative process of RFM parameter；
In Step6, the RFM parameter correction unbiased esti-mator side compensated based on image space is established according to same place picpointed coordinate corrected value
Method；Same place object point coordinate uses earth coordinates, and initial value controls the control point of measurement acquisition in WGS-84 coordinate by field operation
Space three-dimensional rectangular co-ordinate (poor) in system, is converted to using WGS-84 ellipsoid；Same place picpointed coordinate correction is additional
Constraint establishes digitized video block adjustment model using RPC parameter and same place geodetic coordinates correction as target component.
In Step7, when due to the factors such as field operation operating environment is severe, can not carry out control measurement on ground causes without of the same name
Control point or control point of the same name are rare, pass through the higher image of positioning accuracy in separate sources remotely-sensed data, point different elevation faces
Virtual same place is constructed, using virtual control point of the same name as regional network positioning, the foundation of orientation, improves multi-source digitized video number
According to the precision of block adjustment.
The invention has the following advantages that
1. realizing that remote sensing image/SAR image carries out the streamlined operation of ground point geometry location.
2. establishing the digitized video image space point unrelated with hardware device parameter to reflect with object space point
Mathematical model is penetrated, the complexity of image processing is simplified.
3. establishing the totally-enclosed analytic expression for taking photo control point coordinate survey error Yu object control point coordinate survey error into account, realize
It is resolved using the relevant parameter high-precision that digitized video carries out geometry location.
4. under the conditions of realizing Pillarless caving or rare ground control point, the high-precision adjustment of digitized video regional network.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Specific embodiment
Illustrate implementer's case of the invention by taking the processing of MODIS satellite remote-sensing image as an example below, but should not be construed as
It is the limitation to technical solution.
Step1. it using Satellite imagery building stereogram or application satellite-borne SAR image building interference image, obtains
It takes and establishes RPC parameter and its database in image accompanying document；Field operation is surveyed using GNSS cloth and controls net, and net-arranging form uses
Static control network, or RTK operation form acquisition control point coordinate is used, work flow should meet the corresponding code requirement of country；
Step2. image quality, which checks, stresses to check image resolution, using stable state weight imaging geometry model pair
Raw video is repaired, while establishing RFM model, and digitized video checks standard and meets industry standard requirement；Control measurement number
According to processing and its precision evaluation, the end result that control measurement obtains control point should be control point coordinates under WGS-84 reference frame
Or the coordinate difference between control point, and its precision is evaluated；
Step3. the RPC parameter value in image accompanying document is checked using function model, is stressed using RFM function, but
Not limited to this function；Applied probability statistical function detects the systematic error that may contain in RPC parameter, stresses to apply
T is examined, but not limited to this test function；
Step4. according to RPC parameter certified in Step3, using Taylor series (being not limited to Taylor series) to RFM letter
Number is linearized, and the specific series of expansion judges according to the required precision in practical application；Construct the RFM function of linearisation
G-M error model takes the error of observation element in coefficient matrix into account, and expansion G-M model is EIV model, while according to Step.1-
Stochastic model is determined by the prior information that the observation element of model checks in 3；
Step5. according to the pathosis of the conditional number judgment models of equation matrix, when RFM taking on morbit forms property of model, using having
Deviation estimation algorithm realizes its regularization；According to the correction of observation element, the rough error contained in observation element is distinguished；It answers
With stochastic model posteriori estimation and Modified Equivalent Weight Function (stress using IGG weight function, but not limited to this function) carry out model ginseng
Several Robust filters；
Step6. the valuation of RFM model parameter is applied, using picpointed coordinate correction as least commitment, object point coordinate corrective value is to become
The digitized video block adjustment model of amount resolves object point coordinate and gives accuracy assessment；
Step7. when the control of no ground or the control of rare ground, using the higher image of positioning accuracy in digitized video, according to
RFM model construction virtual controlling point, and use virtual controlling point as the positioning of adjacent image, the foundation of orientation, it carries out according to this entire
Block adjustment.
Claims (9)
1. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation, it is characterized in that: passing through EIV model
The mapping relations between picpointed coordinate and object point coordinate are constructed, RPC initial parameter values carry out RFM function in image application accompanying document
Linearisation, analyzes the pathosis and Robustness least squares of the mapping relations model of building, while guaranteeing model parameter estimation accuracy, builds
The vertical Ground Point bit model for resolving object point coordinate by picpointed coordinate resolves process with it；Using by the digital shadow of different Space-bornes
The higher image of positioning accuracy as in is divided into the virtual same place constructed by different elevation faces, and virtual control point of the same name is made
For the positioning of whole region net, the foundation of orientation, multi-source digitized video block adjustment is carried out by the EIV model of RFM.
2. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 1,
It is characterized in that specific step is as follows for this method:
Step1. RPC parameter letter in star-loaded optical remote sensing stereogram or satellite-borne SAR interference image, image accompanying document is obtained
Breath, cloth survey field operation and control net；
Step2. the quality of image checks, and control net precision quality checks；
Step3. using the picpointed coordinate of same place and object point coordinate, RPC parameter value is checked according to RFM function, and carry out to it
Precision evaluation；
Step4. the linearisation that RFM function is carried out using RPC parameter in accompanying document as initial value, constructs EIV model, and to building
RFM function EIV model existing for pathosis, Robustness least squares evaluated；
Step5. take EIV model pathosis into account, the RFM function parameter unbiased esti-mator that the factor of Robustness least squares influences；
Step6. the same place picpointed coordinate and object point error of coordinate of image space compensation are corrected, digitized video block adjustment model
Building；
Step7. without under ground control or rare ground control condition, the overall adjustment of multi-source Remote Sensing Images.
3. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 2,
It is characterized in that: the acquisition of digitized video had both included the number that homologous space remote sensing platform or satellite-borne SAR platform obtain in Step1
Word image constructs stereogram/interference image pair, also includes that not homologous digitized video constructs stereogram/interference image pair；Control net
Laying is to obtain same place image space coordinate and object coordinates, is measured using the measurement of GNSS static cost control or RTK, operation mode is by counting
The judgement of word image resolution.
4. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 2,
It is characterized in that: image quality, which checks, to be stressed to check image resolution in Step2, using stable state weight imaging geometry
Model repairs raw video, while establishing RFM model；Terrestrial net adjustment and precision evaluation control the precision of net
Evaluation had both included the precision of inner coincidence evaluation between control point, also included that newly-increased control point and target-based coordinate system control point are netted in control
Precision of exterior coincidence evaluation；Ground control point coordinate is used as image geometry positioning accuracy Appreciation gist simultaneously.
5. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 2,
It is characterized in that: carrying out accuracy assessment to RPC parameter in image accompanying document, precision index is to miss in the parameter of statistics in Step3
Difference detects the systematic error that may contain in RPC parameter in conjunction with RFM function and probabilistic method.
6. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 2,
It is characterized in that: in Step4, after testing and to meet in the accompanying document of required precision that RPC parameter is initial value, using Taylor's grade
It is several that nonlinear RFM is linearized, analyze the RFM rounding error of different series expansions；By the Gauss Markov of RFM
It is the EIV model for taking model coefficient matrix error into account that error model (Gauss-Markov model, G-M), which is expanded, according to
The relevant prior information of the image calculated in Step1-Step3 determines the stochastic model of EIV model.
7. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 2,
It is characterized in that: the conditional number of the EIV modelling matrix of RFM is differentiated in Step5, its method matrix item when determining model morbid state
The critical value of number of packages；The building of the strategy and Regularization function of ill RFM model regularization；The EIV model Robustness least squares of RFM point
Analysis, determines the maximum collapse rate of model, constructs the Robust filter strategy of model；After the stochastic models such as fusion minimum variance estimate are tested
Algorithm for estimating establishes the unbiased esti-mator iterative process of RFM parameter.
8. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 2,
It is characterized in that: it is unbiased to establish the RFM parameter correction compensated based on image space according to same place picpointed coordinate corrected value in Step6
Estimation method；Same place object point coordinate uses earth coordinates, and initial value controls the control point of measurement acquisition in WGS- by field operation
Space three-dimensional rectangular co-ordinate (poor) in 84 coordinate systems, is converted to using WGS-84 ellipsoid；The correction of same place picpointed coordinate
Number additional constraint establishes digitized video block adjustment mould using RPC parameter and same place geodetic coordinates correction as target component
Type.
9. remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation according to claim 2,
It is characterized in that: in Step7, when due to the factors such as field operation operating environment is severe, can not carry out control measurement on ground causes without same
Name control point or control point of the same name are rare, pass through the higher image of positioning accuracy in separate sources remotely-sensed data, point different elevations
Face constructs virtual same place, using virtual control point of the same name as regional network positioning, the foundation of orientation, improves multi-source digitized video
The precision of data area net adjusted data.
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| CN110500995A (en) * | 2019-07-12 | 2019-11-26 | 武汉大学 | Method of Establishing Equivalent Geometric Imaging Model of High Resolution Satellite Imagery Using RPC Parameters |
| CN111121727A (en) * | 2020-01-10 | 2020-05-08 | 西南交通大学 | Image control point target system and method for unmanned aerial vehicle measurement and airborne laser radar |
| CN111538044A (en) * | 2020-04-10 | 2020-08-14 | 苏州市高新北斗导航平台有限公司 | Low-cost RTK receiver positioning accuracy testing method |
| CN112258422A (en) * | 2020-08-17 | 2021-01-22 | 中国人民解放军61540部队 | Automatic refinement method of rational polynomial parameter (RPC) of stereoscopic image |
| TWI735390B (en) * | 2020-12-01 | 2021-08-01 | 財團法人金屬工業研究發展中心 | Method for real-time positioning compensation of image positioning system and image positioning system capable of real-time positioning compensation |
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| CN113899387A (en) * | 2021-09-27 | 2022-01-07 | 武汉大学 | A method and system for regional network adjustment of optical satellite remote sensing images based on posterior compensation |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110500995A (en) * | 2019-07-12 | 2019-11-26 | 武汉大学 | Method of Establishing Equivalent Geometric Imaging Model of High Resolution Satellite Imagery Using RPC Parameters |
| CN111121727A (en) * | 2020-01-10 | 2020-05-08 | 西南交通大学 | Image control point target system and method for unmanned aerial vehicle measurement and airborne laser radar |
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| TWI735390B (en) * | 2020-12-01 | 2021-08-01 | 財團法人金屬工業研究發展中心 | Method for real-time positioning compensation of image positioning system and image positioning system capable of real-time positioning compensation |
| CN113255740A (en) * | 2021-05-07 | 2021-08-13 | 北京市遥感信息研究所 | Multisource remote sensing image adjustment positioning precision analysis method |
| CN113255740B (en) * | 2021-05-07 | 2024-04-19 | 北京市遥感信息研究所 | Multi-source remote sensing image adjustment positioning accuracy analysis method |
| CN113899387A (en) * | 2021-09-27 | 2022-01-07 | 武汉大学 | A method and system for regional network adjustment of optical satellite remote sensing images based on posterior compensation |
| CN113899387B (en) * | 2021-09-27 | 2023-09-22 | 武汉大学 | A method and system for regional network adjustment of optical satellite remote sensing images based on post-test compensation |
| CN117151991A (en) * | 2023-07-06 | 2023-12-01 | 北京数慧时空信息技术有限公司 | Remote sensing image RPC repairing method |
| CN117151991B (en) * | 2023-07-06 | 2024-05-31 | 北京数慧时空信息技术有限公司 | A remote sensing image RPC repair method |
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