The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3
https://doi.org/10.5194/isprs-archives-XLII-3-1327-2018
https://doi.org/10.5194/isprs-archives-XLII-3-1327-2018
30 Apr 2018
 | 30 Apr 2018

MULTI-SATELLITE OBSERVATION SCHEDULING FOR LARGE AREA DISASTER EMERGENCY RESPONSE

X. N. Niu, H. Tang, and L. X. Wu

Keywords: Disaster Emergency Response, Area Tasks, Decomposition, Multi-satellite Scheduling, Multi-objective Genetic Algorithm

Abstract. an optimal imaging plan, plays a key role in coordinating multiple satellites to monitor the disaster area. In the paper, to generate imaging plan dynamically according to the disaster relief, we propose a dynamic satellite task scheduling method for large area disaster response. First, an initial robust scheduling scheme is generated by a robust satellite scheduling model in which both the profit and the robustness of the schedule are simultaneously maximized. Then, we use a multi-objective optimization model to obtain a series of decomposing schemes. Based on the initial imaging plan, we propose a mixed optimizing algorithm named HA_NSGA-II to allocate the decomposing results thus to obtain an adjusted imaging schedule. A real disaster scenario, i.e., 2008 Wenchuan earthquake, is revisited in terms of rapid response using satellite resources and used to evaluate the performance of the proposed method with state-of-the-art approaches. We conclude that our satellite scheduling model can optimize the usage of satellite resources so as to obtain images in disaster response in a more timely and efficient manner.