Abstract: The problem of response time in multisatellite imaging planning for emergency tasks was investigated. To avoid the influence of preferentially planning of emergency tasks on total task revenue, a multisatellite imaging planning method was proposed, with which the response time of emergency tasks was optimized and the total task revenue was considered. Firstly, according to the characteristics of multisatellite imaging planning which considers both emergency and routine tasks, a constraint satisfaction model for twolevel target optimization was established. Secondly, the model solving process was divided into two parts,i.e., selection of time window and dynamic planning on single orbit. The selection of time window was optimized based on adaptive immune algorithm, and the forward dynamic planning algorithm was designed to determine the optimal path of satellite on single orbit. Finally, the designed algorithm was tested and compared with other algorithms. Simulation results demonstrate that the proposed method can ensure the shortest response time of emergency tasks and get relatively high total task revenue in largescale problem of multisatellite imaging planning.

Key words: imaging satellite, emergency task, response time, immune algorithm, dynamic programming