Development of Image Collection Planning Optimization Using Heuristic Method
| Autor: | Tae-Byeong Chae, Jung-Nam Jun, Hee-Jin Bae |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Mathematical optimization
Computer science Heuristic (computer science) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Plan (drawing) computer.software_genre Image (mathematics) Product (business) Task (computing) Order (business) Earth and Planetary Sciences (miscellaneous) Satellite Data mining Computers in Earth Sciences Engineering (miscellaneous) computer |
| Zdroj: | Korean Journal of Remote Sensing. 28:459-466 |
| ISSN: | 1225-6161 |
| Popis: | Satellite operation is divided as user’s request, image collection planning, product generation, distribution. Image collection planning is to make image collection plan of satellite to reflect user’s request in proper time based on NTO (New Task Order) and AO (Archive Order) using limited satellite resources. Image collection planning has high computational cost because of considering several variables simultaneously, is to be performed identical process repeatedly. In this paper, optimization research of image collection planning is performed for efficient planning. First, formulation of image collection planning is made to require satellite image as much as possible and then Heuristic algorithm is suggested for solution of formulation. |
| Databáze: | OpenAIRE |
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