Dynamic Targeting for Cloud Avoidance to Improve Science of Space Missions
收藏DataCite Commons2023-05-01 更新2025-04-16 收录
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https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.TOBUJF
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资源简介：
Dynamic Targeting (DT) will enable future Earth Observing instruments to intelligently reconfigure and point instruments to dramatically enhance science return. In this work we present a simulation study of DT for cloud avoidance. To this end we have developed several algorithms from Operations Research and Artificial Intelligence/heuristic search. We benchmark these algorithms and show that DT is a powerful tool with the potential to significantly improve science yield.
提供机构：
Root
创建时间：
2023-04-30
