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Title
Japanese:衛星からの画像解析と姿勢推定 
English:Image Recognition Utilizing Machine Learning in Space and Its Application to Attitude Determination for Space Crafts 
Author
Japanese: 谷津 陽一, 渡邉奎.  
English: Yoichi Yatsu, Kei Watanabe.  
Language Japanese 
Journal/Book name
Japanese:天文月報 = The astronomical herald 
English: 
Volume, Number, Page Vol. 115    No. 8    pp. 507-516
Published date Aug. 2022 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Abstract Development and in-orbit demostration of a realtime image recognizer and its application to the world’s first 3-axis attitude determination is presented. To deal with the limited computational resources and power supply, we have developed an image recogniz- ing algorithm utilizing a multi-stage neural network. This employes the color information as a feature quan- tity rather than the molophology to reduce the com- putational cost. After the training with the in-orbit data, the discrimination accuracy finally achieved to 78%, a level close to the human eyes. Furthermore, by comparing the land shape extracted by the image rec- ognition with the map information, the 3-axis attitude determination was demonstrated. Above the coastal area with good weather condition, the algorithm can obtain 3-axis attitude with an accuracy of ~3°.

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