Research On Imaging Strategy Of SAR Satellite System

When SAR satellite formation flying system obtaining Digital Elevation Map of global area,it is difficult to complete a large number of task in short time,in order to make the system complete all the task efficiently in the limited time,we focus on the planning problem of Distributed SAR satellite formation flying system and carry out research on the task analysis and decomposition,the scheduling model and algorithm,discussed through three kinds of tasks.Our work improve the efficiency of satellite system,achieved the purpose of using rational satellite resources,at the same time,we provide to the ground command system a new imaging strategy optimization goal.The main work and contributions of this dissertation can be concluded as the following three Parts:Focus on the mission planning problem of satellite imaging under emergency conditions,consider the constraints such as switching time of imaging strips,establish scheduling model.The objective considered in this paper is minimizing complete imaging task time.In addition,an improved ant colony algorithm is used to solve this problem.Provides a new optimization objective for ground transportation management system and different optimization schemes for satellite imaging according to user’s requirements.This paper proposes a NAGA-II based multi-objective optimization method to solve the multi-objective mission planning problem for satellite formation flying system which has the abilities to obtain both Digital Elevation Map(DEM)and Ground Moving Target Indicator(GMTI)information for the same observation region.The two objectives considered in this paper are maximizing total profit and maximizing numbers of completed acquisitions,respectively.The numerical models to formulate the multiple-objective problem is proposed.The validity of the proposed method is verified by extensive numerical simulations.A visual application software is accomplished and designed based on the research results of this paper.The system is built on the model and algorithm of surveying and mapping strategy we have studied.It is shown that the surface improves the efficiency and make a better use of energy of satellite.