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The process of satellite mission scheduling, which plays a significant role in rapid response to emergent disasters, e.g. earthquake, is\udused to allocate the observation resources and execution time to a series of imaging tasks by maximizing one or more objectives\udwhile satisfying certain given constraints. In practice, the information obtained of disaster situation changes dynamically, which\udaccordingly leads to the dynamic imaging requirement of users. We propose a satellite scheduling model to address dynamic\udimaging tasks triggered by emergent disasters. The goal of proposed model is to meet the emergency response requirements so as to\udmake an imaging plan to acquire rapid and effective information of affected area. In the model, the reward of the schedule is\udmaximized. To solve the model, we firstly present a dynamic segmenting algorithm to partition area targets. Then the dynamic\udheuristic algorithm embedding in a greedy criterion is designed to obtain the optimal solution. To evaluate the model, we conduct\udexperimental simulations in the scene of Wenchuan Earthquake. The results show that the simulated imaging plan can schedule\udsatellites to observe a wider scope of target area. We conclude that our satellite scheduling model can optimize the usage of satellite\udresources so as to obtain images in disaster response in a more timely and efficient manner

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

MULTI-SATELLITE SCHEDULING APPROACH FOR DYNAMIC AREAL TASKS TRIGGERED BY EMERGENT DISASTERS