红外与激光工程, 2018, 47 (11): 1117003, 网络出版: 2019-01-10  

航天大视场遥感相机畸变测试方法

Testing method of distortion for space remote sensing camera with large field of view
作者单位
北京空间机电研究所 先进光学遥感技术北京市重点实验室, 北京 100094
摘要
航天遥感相机的畸变作为相机的重要参数, 其测试精度直接关系到相机获取图像后的图像处理精度。对于航天非测绘遥感相机, 在设计之初往往对其光学系统的畸变设计要求没有测绘相机高, 其光学系统的畸变一般会比较大, 需要对此类遥感相机, 特别是视场较大的遥感相机的畸变进行精确测试, 为其在轨飞行检校提供比较精确的初始条件。文中在经典的精密测角方法的基础上, 建立了针对大畸变航天遥感相机的数学模型, 针对视场较大、弧形畸变较大的测试难点提出了合理可行的测试思路, 完成了被测相机的高精度畸变测试, 取得了理想的效果。实际测试结果表明: 畸变测试精度优于1.8 μm(1σ), 可以满足被测相机的高精度畸变测试需求, 对航天非测绘大视场遥感相机畸变测试有参考借鉴意义。
Abstract
The distortion of the space remote sensing camera was an important parameter, the test accuracy of which was directly related to the image processing precision after getting the image. For the space non-mapping remote sensing camera, the requirement for the distortion of the optical system was not as high as mapping remote sensing camera at the beginning of the design. So its distortion of the optical system was large in general. For this kind of remote sensing camera, especially those with large FOV, it′s necessary to test distortion of the camera accurately. This can provide more accurate initial condition for the calibration in-orbit. Based on the precision of angle measuring method, the mathematical model of space remote sensing camera in view of the large distortion was established in this paper, and a reasonable and feasible test idea was proposed for the large FOV and arc distortion of the camera. The high accuracy test to the distortion of the under test camera was completed, and the results were ideal. The practical test results show that the accurate of distortion is better than 1.8 μm(1σ). The test accuracy can meet the high requirements of test precision for under test camera. So this method has reference significance to the distortion test of the space non-mapping remote sensing camera.

李重阳, 董欣, 岳丽清, 马丽娜, 张继友. 航天大视场遥感相机畸变测试方法[J]. 红外与激光工程, 2018, 47(11): 1117003. Li Chongyang, Dong Xin, Yue Liqing, Ma Lina, Zhang Jiyou. Testing method of distortion for space remote sensing camera with large field of view[J]. Infrared and Laser Engineering, 2018, 47(11): 1117003.

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