CN105224731B - The radiomimesis emulation mode of geostationary satellite ultraviolet imagery sensor - Google Patents
The radiomimesis emulation mode of geostationary satellite ultraviolet imagery sensor Download PDFInfo
- Publication number
- CN105224731B CN105224731B CN201510596003.0A CN201510596003A CN105224731B CN 105224731 B CN105224731 B CN 105224731B CN 201510596003 A CN201510596003 A CN 201510596003A CN 105224731 B CN105224731 B CN 105224731B
- Authority
- CN
- China
- Prior art keywords
- point
- emulation
- disk
- ultraviolet
- earth
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Image Processing (AREA)
- Navigation (AREA)
Abstract
本发明涉及一种地球静止卫星紫外成像敏感器的辐射模拟仿真方法,是在“地球紫外边缘亮环”存在和特征初步分析的基础上,设定波段范围为330‑360nm,对“地球紫外边缘亮环”进行辐亮度模拟,并批量生成任意时间点的紫外模拟图像。主要步骤包括:特征点紫外辐射亮度值的获取;特征点在成像平面的投影转换;完整仿真数据的生成。本发明的地球静止卫星紫外成像敏感器的辐射模拟仿真方法可以批量、快速生成指定时间范围(时间点或时间段)内、不同观测模式下的“地球紫外边缘亮环”仿真数据,以确保敏感器研制的顺利实施。
The invention relates to a radiation simulation method for a geostationary satellite ultraviolet imaging sensor, which is based on the preliminary analysis of the existence and characteristics of the "Earth's Ultraviolet Edge Bright Ring", setting the waveband range to 330-360nm, for the "Earth's Ultraviolet Edge Bright Ring""BrightRing" to perform radiance simulation and batch generate UV simulation images at any point in time. The main steps include: the acquisition of the ultraviolet radiation brightness value of the feature point; the projection transformation of the feature point on the imaging plane; the generation of complete simulation data. The radiation simulation method of the geostationary satellite ultraviolet imaging sensor of the present invention can batch and quickly generate simulation data of "bright rings at the edge of the earth's ultraviolet light" in different observation modes within a specified time range (time point or time period), so as to ensure sensitive The smooth implementation of device development.
Description
技术领域technical field
本发明涉及遥感成像仿真,特别涉及一种地球静止卫星紫外成像敏感器的辐射模拟仿真方法。The invention relates to remote sensing imaging simulation, in particular to a radiation simulation method for an ultraviolet imaging sensor of a geostationary satellite.
背景技术Background technique
航天器自主导航系统可以在少依赖甚至不依赖于地面系统支持的情况下,在轨实时确定航天器的位置和速度,实现自主运行,大大提高卫星系统的生存能力和安全性能。紫外成像敏感器作为航天器自主导航更为合理和优化的选择,受到了国内外的热切关注。紫外成像敏感器的研制需要对地球的紫外特性即“地球紫外边缘亮环”的分布规律进行分析归纳,以为相机的硬件设计和应用处理的系统开发提供数据输入。The spacecraft autonomous navigation system can determine the position and speed of the spacecraft in real time on-orbit with little or no support from the ground system, realize autonomous operation, and greatly improve the survivability and safety performance of the satellite system. As a more reasonable and optimal choice for autonomous navigation of spacecraft, ultraviolet imaging sensors have received keen attention at home and abroad. The development of the ultraviolet imaging sensor needs to analyze and summarize the ultraviolet characteristics of the earth, that is, the distribution law of the "bright ring of the earth's ultraviolet edge", so as to provide data input for the hardware design of the camera and the system development of application processing.
国外的紫外敏感器最早起源于美国霍尼韦尔(Honeywell)公司在1992年研制的紫外三轴姿态敏感器即地球基准确定系统(ERADS),1994年完成了飞行试验,但是具体试验详情未见报道。国内的紫外成像敏感器已成功应用于月球探测卫星的导航与定位,然而地球其本身存在外层大气与复杂的地物特性,月球测绘导航的紫外成像敏感器无法直接应用于地球测绘导航,国内相关人员也针对地球测绘导航的紫外成像敏感器进行了积极的研究并取得了一些成果。文献搜索显示国内自2001年开始出现紫外敏感器的研究:2001年张爱红等在参考美国专利的基础上,改进设计了太阳同步低轨道的紫外星敏感器的光学系统;2004年魏春玲等人对基于紫外敏感器的导航在地球中低轨道、大椭圆轨道和同步轨道上的应用进行了数学仿真验证;2007年耿建中等人验证了自适应粒子滤波在卫星紫外导航中应用的有效性;2013年孙俊等人提出一种利用地球紫外波段和恒星可见光波段为卫星进行自主导航的方法,减小了位置和速度误差;2014年徐达等人设计了静态紫外地球模拟器光学系统,采用物理模拟的方法对紫外导航敏感器进行地面标定和精度测试。由上可知,我国紫外敏感器的研制仍处于逐步摸索的发展时期,然而以上研究和方法均未能形成静止卫星的“地球紫外边缘亮环”模拟图像,无法为紫外敏感器的硬件设计和应用处理提供数据支持。The foreign ultraviolet sensor first originated from the ultraviolet three-axis attitude sensor (Earth Reference Determination System (ERADS)) developed by Honeywell in 1992. The flight test was completed in 1994, but the details of the test have not been seen. reports. Domestic ultraviolet imaging sensors have been successfully applied to the navigation and positioning of lunar exploration satellites. However, the earth itself has an outer atmosphere and complex surface features. The ultraviolet imaging sensors for lunar mapping and navigation cannot be directly applied to earth mapping and navigation. Relevant personnel have also conducted active research on ultraviolet imaging sensors for earth mapping and navigation and achieved some results. Literature search shows that domestic research on ultraviolet sensors has appeared since 2001: in 2001, Zhang Aihong et al. improved and designed the optical system of a sun-synchronous low-orbit ultraviolet star sensor on the basis of referring to the US patent; in 2004, Wei Chunling et al. The application of UV sensor-based navigation in Earth's medium and low orbits, large elliptical orbits and geosynchronous orbits has been verified by mathematical simulation; in 2007, Geng Jianzhong and others verified the effectiveness of adaptive particle filtering in the application of satellite ultraviolet navigation; in 2013 In 2014, Sun Jun and others proposed a method of autonomous navigation for satellites using the Earth's ultraviolet band and the star's visible light band, which reduced the position and velocity errors; in 2014, Xu Da et al. The simulation method is used for ground calibration and accuracy test of the ultraviolet navigation sensor. It can be seen from the above that the research and development of ultraviolet sensors in my country is still in the development period of gradual exploration. However, none of the above studies and methods can form a simulated image of the "bright ring at the edge of the earth's ultraviolet edge" of a geostationary satellite, which cannot be used for the hardware design and application of ultraviolet sensors. Processing provides data support.
发明内容Contents of the invention
本发明要解决的技术问题是:克服现有技术缺点,提出一种地球静止卫星紫外成像敏感器的辐射模拟仿真方法。The technical problem to be solved by the invention is to overcome the shortcomings of the prior art and propose a radiation simulation method for the ultraviolet imaging sensor of the geostationary satellite.
为了解决以上技术问题,本发明提供的地球静止卫星紫外成像敏感器的辐射模拟仿真方法,包括以下步骤:In order to solve the above technical problems, the radiation simulation simulation method of the geostationary satellite ultraviolet imaging sensor provided by the invention comprises the following steps:
第一步、特征点紫外辐射亮度值的获取——以地球同步静止卫星为平台,选取相对于星下点上下左右四个位置以及±45º倾角直线与地球相交的临边点、星下点、临边点与星下点间的中间点作为地表特征点,各临边点地心方向垂直向上以5km间隔递增至95km的点作为高程特征点,提取指定时间的所述地表特征点和高程特征点的紫外辐射亮度值;Step 1. Acquisition of the ultraviolet radiance value of feature points——Using the geosynchronous satellite as a platform, select four positions relative to the sub-satellite point, such as the limb point, sub-satellite point, The middle point between the limb point and the sub-satellite point is used as the surface feature point, and the point of each limb point vertically upward to 95km at an interval of 5km is used as the elevation feature point, and the surface feature point and elevation feature at the specified time are extracted The UV radiance value of the point;
第二步、特征点在成像平面内的投影转换——将所述特征点的三维球面坐标转换至敏感器所成二维图像的平面坐标,具体步骤如下:The second step, the projection transformation of the feature points in the imaging plane - converting the three-dimensional spherical coordinates of the feature points to the plane coordinates of the two-dimensional image formed by the sensor, the specific steps are as follows:
a1)、首先以星下点为中心,根据传感器和地球的几何关系,求得各特征点的球面坐标;其次,以地心-星下点方向为X轴,投影平面水平轴方向为Y轴,投影平面垂直轴方向为Z轴,根据球面坐标与空间直角坐标系的坐标转换关系进行转换,得到将特征点的球面坐标转换为空间直角坐标,进而得到特征点在投影平面上的投影坐标;a1) First, take the sub-satellite point as the center, and obtain the spherical coordinates of each feature point according to the geometric relationship between the sensor and the earth; secondly, take the direction of the earth center-sub-satellite point as the X axis, and the horizontal axis direction of the projection plane as the Y axis , the direction of the vertical axis of the projection plane is the Z axis, and the transformation is carried out according to the coordinate transformation relationship between the spherical coordinates and the space Cartesian coordinate system, and the spherical coordinates of the feature points are converted into the space Cartesian coordinates, and then the projection coordinates of the feature points on the projection plane are obtained;
a2)、将各特征点的投影坐标转为极坐标表示;a2), convert the projected coordinates of each feature point into polar coordinates;
a3)、将地球表面以上大气层95km的距离定义为M个标准单位,而地球表面至地心6371km的距离定义为N个标准单位,建立以M+N个标准单位为半径的仿真圆盘,将步骤a2)中获得的各特征点的极坐标转换为所述仿真圆盘的极坐标;a3), define the distance of 95km above the earth's surface as M standard units, and define the distance from the earth's surface to the center of the earth as N standard units, and establish a simulated disk with M+N standard units as the radius. The polar coordinates of each feature point obtained in step a2) are converted into polar coordinates of the simulated disk;
第三步、完整仿真数据的获取,步骤如下:The third step is to obtain the complete simulation data, the steps are as follows:
b1)、正向坐标转换:将仿真圆盘变换为以仿真圆盘周长为长、以仿真圆盘半径为宽的仿真矩形,仿真矩形的长为Y轴,宽为X轴,各特征点在仿真圆盘下的极坐标变换为仿真矩形下的直角坐标;b1), Forward coordinate conversion: Transform the simulated disc into a simulated rectangle whose length is the circumference of the simulated disc and whose width is the radius of the simulated disc. The length of the simulated rectangle is the Y axis, and the width is the X axis. The polar coordinates under the simulated disk are transformed into Cartesian coordinates under the simulated rectangle;
b2)、辐射亮度插值:使用线性插值的方法对相邻特征点进行插值,获得插值点的紫外辐射亮度值;b2), radiance interpolation: use the linear interpolation method to interpolate adjacent feature points to obtain the ultraviolet radiance value of the interpolation point;
b3)、反向坐标转换:将仿真矩形反向变换为仿真圆盘,仿真矩形的长为仿真圆盘的周长,仿真矩形的宽为仿真圆盘的半径,各特征点和插值点在仿真矩形下的直角坐标变换为仿真圆盘下的极坐标;b3) Reverse coordinate conversion: reversely transform the simulation rectangle into a simulation disk, the length of the simulation rectangle is the circumference of the simulation disk, the width of the simulation rectangle is the radius of the simulation disk, and each feature point and interpolation point is in the simulation Cartesian coordinates under the rectangle are transformed into polar coordinates under the simulated disk;
第四步、最终获得的所有特征点和插值点在仿真圆盘下的极坐标值和各自的辐射亮度为指定时间下的地球静止卫星紫外成像敏感器的辐射模拟仿真数据。In the fourth step, the finally obtained polar coordinate values of all feature points and interpolation points under the simulation disk and their respective radiance are the radiation simulation data of the UV imaging sensor of the geostationary satellite at a specified time.
为了解决以上技术问题,本发明还具有以下进一步的特征:In order to solve the above technical problems, the present invention also has the following further features:
1、第一步中,通过大气辐射传输模拟软件MODTRAN对所有特征点进行紫外辐射亮度值的获取,紫外辐射亮度值获取的参数输入包括大气模拟条件和模拟卫星的轨道类型,大气模拟条件是各特征点的标准大气和气候模式;模拟卫星为地球同步静止卫星,与地球表面的距离为36000 km,卫星星下点的位置为:赤道,东经102º。1. In the first step, the ultraviolet radiance value of all feature points is obtained through the atmospheric radiation transfer simulation software MODTRAN. The parameters input for the acquisition of the ultraviolet radiance value include the atmospheric simulation conditions and the orbit type of the simulated satellite. The atmospheric simulation conditions are each Standard atmospheric and climate models for feature points; the simulated satellite is a geostationary satellite with a distance of 36,000 km from the earth's surface, and the sub-satellite point is at the equator, 102º east longitude.
2、步骤a1)中,第i个特征点的球面坐标为(loni,lati,Ri),其中,loni为第i个特征点的经度,lati为第i个特征点的纬度,Ri为第i个特征点的切高h i 与该地区地球半径r之和。2. In step a1), the spherical coordinates of the i-th feature point are (lon i , lat i , R i ), where lon i is the longitude of the i-th feature point, and lat i is the latitude of the i-th feature point , R i is the sum of the cut height h i of the i-th feature point and the radius r of the earth in this area.
3、步骤a3)中,M=95,N=100。3. In step a3), M=95, N=100.
4、步骤b1)中,将仿真圆盘变换为仿真矩形的方法如下:把仿真圆盘沿任一半径方向切开作为x轴,切开半径的右侧沿顺时针旋转,将圆心沿y轴正向拉伸为仿真圆盘周长的长度,形成以仿真圆盘周长为长、以仿真圆盘半径为宽的仿真矩形。4. In step b1), the method of transforming the simulated disc into a simulated rectangle is as follows: Cut the simulated disc along any radius direction as the x-axis, rotate the right side of the cut radius clockwise, and move the center of the circle along the y-axis The positive stretch is the length of the circumference of the simulated disc, forming a simulated rectangle whose length is the circumference of the simulated disc and whose width is the radius of the simulated disc.
5、步骤b2)中,X轴的插值步长为1/8个标准单位,Y轴的插值步长为1/2个标准单位。5. In step b2), the interpolation step of the X axis is 1/8 standard unit, and the interpolation step of the Y axis is 1/2 standard unit.
6、步骤b3)中,将仿真矩形变换为仿真圆盘的方法如下:将仿真矩形中由圆心拉伸形成的长边缩放为一点,另一长边中y值不为0的点沿逆时针方向旋转与y值为0的点会合,重新生成仿真圆盘。6. In step b3), the method of transforming the simulated rectangle into a simulated disc is as follows: Scale the long side formed by stretching the center of the simulated rectangle to a point, and the point on the other long side whose y value is not 0 moves counterclockwise The orientation rotation meets the point with a y value of 0, regenerating the simulated disk.
本发明的地球静止卫星紫外成像敏感器的辐射模拟仿真方法可以批量、快速生成指定时间范围(时间点或时间段)内、不同观测模式下的“地球紫外边缘亮环”仿真数据,以确保敏感器研制的顺利实施。The radiation simulation method of the geostationary satellite ultraviolet imaging sensor of the present invention can batch and quickly generate the simulation data of "bright ring at the edge of the earth's ultraviolet light" under different observation modes within the specified time range (time point or time period), so as to ensure the sensitive The smooth implementation of device development.
附图说明Description of drawings
下面结合附图对本发明作进一步的说明。The present invention will be further described below in conjunction with the accompanying drawings.
图1为本发明地球静止卫星紫外成像敏感器的辐射模拟仿真方法流程图。Fig. 1 is a flow chart of the radiation simulation method of the geostationary satellite ultraviolet imaging sensor of the present invention.
图2为本发明方法的特征点示意图。Fig. 2 is a schematic diagram of feature points of the method of the present invention.
图3为本发明方法的特征点在成像平面的投影转换示意图。Fig. 3 is a schematic diagram of projection transformation of feature points on an imaging plane in the method of the present invention.
图4为本发明方法中特征点的正反坐标转换示意图。Fig. 4 is a schematic diagram of positive and negative coordinate transformation of feature points in the method of the present invention.
图5为本发明模拟得到的2013年6月15日上午10点的“地球紫外边缘亮环”仿真数据示意图。Fig. 5 is a schematic diagram of the simulated data of the "bright ring at the edge of the Earth's ultraviolet" at 10:00 am on June 15, 2013 obtained through the simulation of the present invention.
具体实施方式Detailed ways
下面根据附图详细阐述本发明,使本发明的技术路线和操作步骤更加清晰。The present invention will be described in detail below according to the accompanying drawings, so as to make the technical route and operation steps of the present invention clearer.
如图1所示,为本发明实施例地球静止卫星紫外成像敏感器的辐射模拟仿真方法流程图,包括以下步骤:As shown in Figure 1, it is a flow chart of a radiation simulation method for a geostationary satellite ultraviolet imaging sensor in an embodiment of the present invention, including the following steps:
第一步、特征点紫外辐射亮度值的获取——如图2所示,以地球同步静止卫星为平台,选取相对于星下点上下左右四个位置以及±45º倾角直线与地球相交的临边点、星下点、临边点与星下点间的中间点作为地表特征点(地表特征点共有17个),各临边点地心方向垂直向上以5km间隔递增至95km的点作为高程特征点(高程特征点共有152个),所有特征点的数量为169个,提取指定时间(本例中为北京时间2013年6月15日上午10点)的所有地表特征点和高程特征点330-360nm波段内的紫外辐射亮度值;Step 1. Acquisition of the ultraviolet radiance value of the feature point—as shown in Figure 2, using the geosynchronous satellite as a platform, select four positions relative to the sub-satellite point, up, down, left, and right, and the limb where the straight line with an inclination angle of ±45º intersects the earth point, the sub-satellite point, the middle point between the limb point and the sub-satellite point as the surface feature point (there are 17 surface feature points in total), and the points of the geocentric direction of each limb point vertically upward to 95km at intervals of 5km are used as the elevation feature Points (there are 152 elevation feature points in total), the number of all feature points is 169, extract all surface feature points and elevation feature points at the specified time (in this example, 10 am on June 15, 2013, Beijing time) 330- The luminance value of ultraviolet radiation in the 360nm band;
本步骤中,通过大气辐射传输模拟软件MODTRAN对所有特征点进行紫外辐射亮度值的获取,紫外辐射亮度值获取的参数输入包括大气模拟条件和模拟卫星的轨道类型,大气模拟条件是各特征点的标准大气和气候模式;模拟卫星为地球同步静止卫星,与地球表面的距离为36000 km,卫星星下点的位置为:赤道0.00,东经102.00。In this step, the ultraviolet radiance values of all feature points are obtained through the atmospheric radiative transfer simulation software MODTRAN. The parameters input for the acquisition of ultraviolet radiance values include the atmospheric simulation conditions and the orbit type of the simulated satellite. The atmospheric simulation conditions are the Standard atmospheric and climate model; the simulated satellite is a geostationary satellite, the distance from the earth's surface is 36000 km, and the position of the sub-satellite point of the satellite is: equator 0.00, east longitude 102.00.
第二步、特征点在成像平面内的投影转换——将所述特征点的三维球面坐标转换至敏感器所成二维图像的平面坐标(投影转换示意图见图3),具体步骤如下:The second step, the projection conversion of feature points in the imaging plane-the three-dimensional spherical coordinates of the feature points are converted to the plane coordinates of the two-dimensional image formed by the sensor (the schematic diagram of projection conversion is shown in Figure 3), and the specific steps are as follows:
a1)、首先以星下点为中心,根据传感器和地球的几何关系,求得各特征点的球面坐标;其次,以地心-星下点方向为X轴,投影平面水平轴方向为Y轴,投影平面垂直轴方向为Z轴,根据球面坐标与空间直角坐标系的坐标转换关系进行转换,得到将特征点的球面坐标转换为空间直角坐标,进而得到特征点在投影平面上的投影坐标;本步骤中,第i个特征点的球面坐标为(loni,lati,Ri),其中,loni为第i个特征点的经度,lati为第i个特征点的纬度,Ri为第i个特征点的切高hi与该地区地球半径r之和;a1) First, take the sub-satellite point as the center, and obtain the spherical coordinates of each feature point according to the geometric relationship between the sensor and the earth; secondly, take the direction of the earth center-sub-satellite point as the X axis, and the horizontal axis direction of the projection plane as the Y axis , the direction of the vertical axis of the projection plane is the Z axis, and the transformation is carried out according to the coordinate transformation relationship between the spherical coordinates and the space Cartesian coordinate system, and the spherical coordinates of the feature points are converted into the space Cartesian coordinates, and then the projection coordinates of the feature points on the projection plane are obtained; In this step, the spherical coordinates of the i-th feature point are (loni, lati, Ri), where loni is the longitude of the i-th feature point, lati is the latitude of the i-th feature point, and Ri is the i-th feature point The sum of the tangent height hi and the earth radius r in this area;
a2)、将各特征点的投影坐标转为极坐标表示;a2), convert the projected coordinates of each feature point into polar coordinates;
a3)、将地球表面以上大气层95km的距离定义为95个标准单位,而地球表面至地心6371km的距离定义为100个标准单位,建立以195个标准单位为半径的仿真圆盘,将步骤a2)中获得的各特征点的极坐标转换为所述仿真圆盘的极坐标。a3), define the distance of 95 km above the earth's surface as 95 standard units, and define the distance from the earth's surface to the center of the earth as 100 standard units, and establish a simulation disk with a radius of 195 standard units, and step a2 The polar coordinates of each feature point obtained in ) are transformed into the polar coordinates of the simulated disk.
第三步、完整仿真数据的获取,步骤如下:The third step is to obtain the complete simulation data, the steps are as follows:
b1)、正向坐标转换:如图4所示,将仿真圆盘变换为以仿真圆盘周长为长、以仿真圆盘半径为宽的仿真矩形,仿真矩形的长为Y轴,宽为X轴,各特征点在仿真圆盘下的极坐标变换为仿真矩形下的直角坐标;将仿真圆盘变换为仿真矩形的方法如下:把仿真圆盘沿任一半径方向切开作为x轴,切开半径的右侧沿顺时针旋转,将圆心沿y轴正向拉伸为仿真圆盘周长的长度,形成以仿真圆盘周长为长、以仿真圆盘半径为宽的仿真矩形;b1), Forward coordinate transformation: As shown in Figure 4, transform the simulated disc into a simulated rectangle whose length is the circumference of the simulated disc and whose width is the radius of the simulated disc. The length of the simulated rectangle is the Y axis and the width is On the X-axis, the polar coordinates of each feature point under the simulation disk are transformed into Cartesian coordinates under the simulation rectangle; the method of transforming the simulation disk into a simulation rectangle is as follows: cut the simulation disk along any radial direction as the x-axis, The right side of the cutting radius is rotated clockwise, and the center of the circle is stretched along the positive direction of the y-axis to the length of the circumference of the simulated disc, forming a simulated rectangle whose length is the circumference of the simulated disc and whose width is the radius of the simulated disc;
b2)、辐射亮度插值:使用线性插值的方法对相邻特征点进行插值,获得插值点的紫外辐射亮度值;在插值过程中需要注意的是,如果插值结果密度与仿真矩形密度相等,则在完成反向坐标转换后,“地球紫外边缘亮环”仿真数据会出现坏点数据(辐亮度为0,图示中为黑点),因此在插值过程中,需将仿真矩形的X轴插值加密至8倍以上才能仿止坏点数据的出现。本实施例中,X轴的插值步长为1/8个标准单位,Y轴的插值步长为1/2个标准单位;b2) Interpolation of radiance: use linear interpolation to interpolate adjacent feature points to obtain the radiance value of the interpolated point; it should be noted during the interpolation process that if the density of the interpolation result is equal to the density of the simulated rectangle, then After the inverse coordinate conversion is completed, the simulation data of "Earth's Ultraviolet Edge Bright Ring" will have bad point data (the radiance is 0, black dots in the illustration), so during the interpolation process, the X-axis interpolation of the simulation rectangle needs to be encrypted To 8 times or more can imitate the appearance of bad point data. In this embodiment, the interpolation step of the X axis is 1/8 standard unit, and the interpolation step of the Y axis is 1/2 standard unit;
b3)、反向坐标转换:将仿真矩形反向变换为仿真圆盘,仿真矩形的长为仿真圆盘的周长,仿真矩形的宽为仿真圆盘的半径,各特征点和插值点在仿真矩形下的直角坐标变换为仿真圆盘下的极坐标;将仿真矩形变换为仿真圆盘的方法如下:将仿真矩形中由圆心拉伸形成的长边缩放为一点,另一长边中y值不为0的点沿逆时针方向旋转与y值为0的点会合,重新生成仿真圆盘。b3) Reverse coordinate conversion: reversely transform the simulation rectangle into a simulation disk, the length of the simulation rectangle is the circumference of the simulation disk, the width of the simulation rectangle is the radius of the simulation disk, and each feature point and interpolation point is in the simulation The Cartesian coordinates under the rectangle are transformed into the polar coordinates under the simulated disk; the method of transforming the simulated rectangle into a simulated disk is as follows: scale the long side formed by stretching the center of the circle in the simulated rectangle to a point, and the y value in the other long side Points that are not 0 rotate counterclockwise to meet points with a y value of 0 to regenerate the simulation disk.
第四步、最终获得的所有特征点和插值点在仿真圆盘下的极坐标值和各自的辐射亮度为指定时间下的地球静止卫星紫外成像敏感器的辐射模拟仿真数据。如图5所示为基于该仿真数据生成的地球紫外边缘亮环示意图。In the fourth step, the finally obtained polar coordinate values of all feature points and interpolation points under the simulation disk and their respective radiance are the radiation simulation data of the UV imaging sensor of the geostationary satellite at a specified time. Figure 5 is a schematic diagram of the bright ring of the Earth's ultraviolet edge generated based on the simulation data.
除上述实施例外,本发明还可以有其他实施方式。凡采用等同替换或等效变换形成的技术方案,均落在本发明要求的保护范围。In addition to the above-mentioned embodiments, the present invention can also have other implementations. All technical solutions formed by equivalent replacement or equivalent transformation fall within the scope of protection required by the present invention.
Claims (7)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510596003.0A CN105224731B (en) | 2015-09-17 | 2015-09-17 | The radiomimesis emulation mode of geostationary satellite ultraviolet imagery sensor |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510596003.0A CN105224731B (en) | 2015-09-17 | 2015-09-17 | The radiomimesis emulation mode of geostationary satellite ultraviolet imagery sensor |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105224731A CN105224731A (en) | 2016-01-06 |
CN105224731B true CN105224731B (en) | 2018-04-27 |
Family
ID=54993697
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510596003.0A Expired - Fee Related CN105224731B (en) | 2015-09-17 | 2015-09-17 | The radiomimesis emulation mode of geostationary satellite ultraviolet imagery sensor |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105224731B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109064515B (en) * | 2018-07-09 | 2020-07-07 | 国家卫星气象中心 | Moon observation data extraction method and device |
CN114633906B (en) * | 2022-04-12 | 2023-12-22 | 中国科学院光电技术研究所 | Ultraviolet dynamic earth simulator |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3862882B2 (en) * | 1998-02-13 | 2006-12-27 | 株式会社東芝 | Circuit data reduction method and circuit simulation method |
CN102745345A (en) * | 2011-04-20 | 2012-10-24 | 北京控制工程研究所 | Ultraviolet fixed star simulator for calibrating ultraviolet navigation sensor |
CN103018736A (en) * | 2012-12-03 | 2013-04-03 | 北京航空航天大学 | Satellite-borne remote sensor radiation calibration method based on atmospheric parameter remote sensing retrieval |
CN103389099A (en) * | 2013-07-26 | 2013-11-13 | 西安电子科技大学 | Spacecraft attitude and position measurement system and method based on X-ray pulsar |
US8705035B2 (en) * | 2012-01-23 | 2014-04-22 | Gigaphoton Inc. | Target generation device |
-
2015
- 2015-09-17 CN CN201510596003.0A patent/CN105224731B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3862882B2 (en) * | 1998-02-13 | 2006-12-27 | 株式会社東芝 | Circuit data reduction method and circuit simulation method |
CN102745345A (en) * | 2011-04-20 | 2012-10-24 | 北京控制工程研究所 | Ultraviolet fixed star simulator for calibrating ultraviolet navigation sensor |
US8705035B2 (en) * | 2012-01-23 | 2014-04-22 | Gigaphoton Inc. | Target generation device |
CN103018736A (en) * | 2012-12-03 | 2013-04-03 | 北京航空航天大学 | Satellite-borne remote sensor radiation calibration method based on atmospheric parameter remote sensing retrieval |
CN103389099A (en) * | 2013-07-26 | 2013-11-13 | 西安电子科技大学 | Spacecraft attitude and position measurement system and method based on X-ray pulsar |
Non-Patent Citations (2)
Title |
---|
analysis of signal to noise ratio for atmospheric ultraviolet remote sensing on geostationary orbit with variations of solar incidnet angles;吕春光等;《earth observing missions and sensors:development,implementation,and characterization III》;20141119;第9264卷;第1-8页 * |
基于理论模型与飞行任务经验的地球反照对太阳敏感器测量结果影响的分析;Ban Brasoveanu等;《控制工程》;20011230(第3期);第41-49页 * |
Also Published As
Publication number | Publication date |
---|---|
CN105224731A (en) | 2016-01-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Trebi-Ollennu et al. | Design and analysis of a sun sensor for planetary rover absolute heading detection | |
CN102243074B (en) | Method for simulating geometric distortion of aerial remote sensing image based on ray tracing technology | |
CN103675794B (en) | Based on the space flight optical remote sensor imaging emulation mode of space-time uniformity characteristic | |
CN102346922A (en) | Space remote sensing load imaging geometric distortion three-dimensional visualization simulation method | |
CN102737357B (en) | Method for generating simulation data of lunar three-linear array camera images | |
CN110849331B (en) | Monocular vision measurement and ground test method based on three-dimensional point cloud database model | |
CN102519433B (en) | Method for inverting geometric calibrating parameter of satellite-borne linear array sensor by using RPC (Remote Position Control) | |
CN104820984B (en) | A kind of satellite remote sensing three line scanner stereopsis processing system and method | |
CN112857306B (en) | Method for determining continuous solar altitude angle of video satellite at any view direction point | |
CN110929427A (en) | A Fast Simulation Method for Remote Sensing Satellite Video Imaging | |
CN102568034B (en) | Computer Simulation System of Space Optical Remote Sensor Imaging Actual Ground Objects | |
CN106909161A (en) | A kind of motor-driven planing method of optimum attitude of quick satellite zero drift angle imaging | |
CN103743488B (en) | Infrared imaging simulation method for globe limb background characteristics of remote sensing satellite | |
CN103134492B (en) | Agile imaging satellite linear scan strip pre-generating method based on point target and satellite three-axis gesture rapid determining method | |
CN106897962B (en) | The disk projection of big view field space earth observation image and joining method | |
Hesar et al. | Small body gravity field estimation using LIAISON supplemented optical navigation | |
CN105224731B (en) | The radiomimesis emulation mode of geostationary satellite ultraviolet imagery sensor | |
CN106202801B (en) | Target motion smear emulation mode in a kind of space-based optical space fragment monitoring picture | |
CN103234552A (en) | Optical navigation target satellite analog simulation image generating method | |
CN105547286B (en) | A kind of compound three visual fields star sensor star map simulation method | |
CN111060077A (en) | Remote sensing satellite image positioning method based on sparse control points | |
CN115131494A (en) | Optical remote sensing satellite imaging simulation method and device | |
CN103913169B (en) | Strap-down inertial/starlight refraction combined navigation method of aircrafts | |
CN108225306A (en) | The star sensor mounting arrangement method of posture is stared based on remote sensing satellite | |
CN114580181B (en) | Huge constellation coverage performance parallel computing method based on CUDA |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180427 |
|
CF01 | Termination of patent right due to non-payment of annual fee |