大视场空间遥感相机的像速场及图像传感器曝光积分控制  

Image Motion Velocity Field for Wide View Remote Sensing Camera and Detectors Exposure Integration Control

作　　者：王翀[1,2] 尤政[1,2] 邢飞[1,2] 张高飞 

机构地区：[1]清华大学精密仪器与机械学系,北京100084 [2]清华大学精密测试与仪器国家重点实验室,北京100084

出　　处：《光学学报》2013年第5期88-95,共8页Acta Optica Sinica

基　　金：国家863计划(2012AA121503)资助课题

摘　　要：大视场空间遥感器由于卫星轨道、姿态机动、颤振、地球星历、几何特性和载荷相机光学设计等因素耦合影响,成像过程中焦面像场的运动和图像形变表现出非线性时变规律。像速场的分布和变化会影响动态推扫的成像控制精度和成像质量。提出了一种新的遥感器像移速度场数学建模方法,通过分析具有空间光滑曲面的体目标视运动及其动态成像问题,推导了对地观测大视场相机像速解析式。算法具准确性好和效率高的优点,适用于大视场空间遥感器在轨像速匹配的嵌入式计算机处理和仪器设计。同时研究了强非线性像速场的像速匹配和偏流角跟踪的电荷耦合器件(CCD)曝光积分控制及优化问题。For space-borne remote sensors with wide field of view, images on focal planes motion deform nonlinearly as well as vary with time due to the affects from satellites orbital motions, attitude maneuverings, jittering, earth ephemeris and geometrical characteristics, optical designs and so on. The distribution of image velocity field determines the exposure integration accurate for the image formation procedure so as to affect the image qualities. A new method is proposed that it focus on to found the image motion velocity field mathematical model which especially appropriate to wide field of view sensors through analyzing the problems of image formation for apparent kinetic spatial object with smooth curved surface. Analytical formulas of image velocities are deduced. The algorithm is proved not only to be precise but also efficient. It can be employed as the dynamic imaging algorithms for embedded computers of orbiting payloads and their instrumentations. Based on this research, it＇s concerned that an optimized approaches for charge coupled device （CCD） detectors exposure integration control via image velocities matching along with deflect angles compensations as the strong nonlinear image velocity fields.

关 键 词：成像系统 大视场空间遥感相机 像速场 像速匹配 偏流角 

分 类 号：O436[机械工程—光学工程]