Calculation And Analysis On Different Rates Image Motion Of Agile Satellite

Recently, development of agile satellite has been the main trend of high resolutionsatellite, agile satellite can achieve large angle of roll imaging and pitch imaging withits attitude flexibility, broaden ground coveragerange, and solve the contradiction ofsimultaneous reaching high space resolution and high time resolution. Image motion is amain reason of restricting TDICCD camera to meet high resolution image. Buildingimage plane image motion vector of agile satellite with attitude has been an urgent issue.This article’s main tasks are:Firstly, TDICCD’s principle was introduced and the emerging reason of drift anglewere analyzed, image plane single pixel integration time was calculated, image plane ofagile satellite image motion vector and drift angle calculation model with roll attitudeand pitch attitude by using the combining method of both coordinate transformation andcenter projection was built.Secondly, based on established image motion vector model, aimed at a typicalsatellite parameter, satellite with large angle of roll attitude image motion vector anddrift angle along with latitude and roll angle were emphasized on analysis. Differentrates image motion was calculatedbased on image plane different field of view pixelimage motion vector distribution. The influence of different rates image motion toimagequality was evaluated by using MTF.Then, aimed at the situation of agile satellite image plane different rates imagemotion distribution, the image motion compensation strategies were put forward,including drift angle adjustment and different rates image motion matching.By analysisthe influence of drift angle velocity to continuous image time, the necessity of real-timeadjusting of drift angle for large angle roll imaging was brought up; And three methodswere used to accomplish different rates image motion matching, by the analysis meritand demerit of the three methods, a truth was proved that combination of both adjustingintegration stage and dividing image plane into different group to respectively controlfrequency strategy was the best effective method to complete different rates imagemotion matching; the maximum roll angle to meet all field of view clear imaging andthe maximum continuous imaging time without drift angle adjustment were analyzed.At last, the visual GUI software was compiled by using MATLAB. The imagemotion vector and drift angle computation model were packed together into the softwarewhich software function modularization was come true. Software makes it easier toachieve the human-computer interaction and broaden the range of application.