2018
DOI: 10.1051/matecconf/201817903024
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Modeling and Simulation of Mission Planning Problem for Remote Sensing Satellite Imaging

Abstract: Mission planning problem for remote sensing satellite imaging is studied. Firstly, the time constraint satisfaction problem model is presented after analyzing the characteristic of time constraint. Then, An optimal path searching algorithm based on the discrete time window is proposed according to the non-uniqueness for satellite to mission in the visible time window. Simulation results verify the efficiency of the model and algorithm.

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Cited by 3 publications
(1 citation statement)
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“…Pascarella [31] proposed a core-path graph algorithm for trajectory planning, and two parallel programming techniques were applied to reduce the lead time. Since time is of the essence in multisatellite wide-area observations, Liu [32] and Yao [33] both analyzed the time constraints and established models integrated with time-dependent scheduling. The former proposed a heuristic algorithm, while the latter presented an optimal pathsearching algorithm based on a discrete time window.…”
Section: Introductionmentioning
confidence: 99%
“…Pascarella [31] proposed a core-path graph algorithm for trajectory planning, and two parallel programming techniques were applied to reduce the lead time. Since time is of the essence in multisatellite wide-area observations, Liu [32] and Yao [33] both analyzed the time constraints and established models integrated with time-dependent scheduling. The former proposed a heuristic algorithm, while the latter presented an optimal pathsearching algorithm based on a discrete time window.…”
Section: Introductionmentioning
confidence: 99%