Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification - researchr publication

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Yuya Matsumoto, Ryo Natsuaki, Akira Hirose. Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 15:2914-2928, 2022. [doi]

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