Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be delivered to ISS in 2018. In HISUI project, observation strategy is important especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. We have developed concept of multiple algorithms approach. The concept is to use two (or more) algorithm models (Long Strip Model and Score Downfall Model) for selecting observing scenes from complex data acquisition requests with satisfactory of sensor constrains. We have tested the algorithm, and found that the performance of two models depends on remaining data acquisition requests, i.e. distribution score along with orbits. We conclude that the multiple algorithms approach will be make better collection plans for HISUI comparing with single fixed approach.
Kenta Ogawa, Yukiko Konno, Satoru Yamamoto, Tsuneo Matsunaga, Tetsushi Tachikawa, Mako Komoda, Osamu Kashimura, and Shuichi Rokugawa, "Case studies for observation planning algorithm of a Japanese spaceborne sensor: Hyperspectral Imager Suite (HISUI)," Proc. SPIE 10000, Sensors, Systems, and Next-Generation Satellites XX, 100000B (Presented at SPIE Remote Sensing: September 26, 2016; Published: 19 October 2016); https://doi.org/10.1117/12.2240830.
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