Research On Optimized Decision-Making Algorithms And Visual Simulation Techniques For Imaging Satellite Plan Scheduling

The Plan Scheduling (PS) of imaging satellite is the core content of imaging satellite management control, its primary mission is carrying out programming and scheduling for making the best imaging plan, which aiming at the imaging requests and considering all constraint condition, in order to using satellite resources better, taking advantage of their maximum benefit and satisfying each imaging request in time.Aiming at PS question, this article studied optimization decision-making algorithm and visual simulation techniques. The main contents are as follows:Adopted the thought of graph, a imaging target directed graph is given by regarding the imaging targets as the graph vertexes, and taking into account the constraint relationship between the targets. A multi-criteria evaluate method is introduced to evaluate the imaging target sequence and a multi-criteria shortest path model is established.Based on the label-correcting, multi- criteria shortest path algorithm is used to obtain the optimal imaging target sequence. In this foundation, the paper analyzes the plan's influence from constrain of satellite storage and data transmission, and a constraint revision algorithm is presented to resolve these constraint. At last, the paper studies the scheduling question of the ground station resources and the processing strategy when modified the plan by handwork.Two-Dimensional visualization techniques of PS are studied based on GIS. After analyzes main modeling, the paper realizes the satellite imaging 2D situation demonstration, the satellite movement simulation, and realizes the function of multi-view linkage and plan visual adjustment.Three-Dimensional visual simulation techniques of PS are studied based on STK. After analyzes main modeling, the paper realizes 3D visual simulation of satellite imaging, which provides a direct-viewing, interactive visual simulation analysis environment for PS.