Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images

吴止锾 Wu Zhihuan; 高永明 Gao Yongming; 李磊 Li Lei; 薛俊诗 XUE Jun-shi

doi:10.3788/aos201939.0428004

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Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images

吴止锾 Wu Zhihuan 高永明 Gao Yongming 李磊 Li Lei 薛俊诗 XUE Jun-shi

Year: 2019 Journal: Acta Optica Sinica Vol: 39 (4)Pages: 0428004-0428004

DOI: 10.3788/aos201939.0428004

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Keywords:

Computer science Segmentation Artificial intelligence Class (philosophy) Convolutional neural network Pattern recognition (psychology) Remote sensing Computer vision Geography

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Advanced Computational Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Fully Convolutional Network Method of Semantic Segmentation of Class Imbalance Remote Sensing Images

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