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Remote Sensing Scene Classification and Explanation Using RSSCNet and LIME

Classification is needed in disaster investigation, traffic control, and land-use resource management. How to quickly and accurately classify such remote sensing imagery has become a popular research topic. However, the application of large, deep neural network models for the training of classifiers...

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Detalhes bibliográficos
Main Authors: Sheng-Chieh Hung, Hui-Ching Wu, Ming-Hseng Tseng
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-09-01
Colecção:Applied Sciences
Assuntos:
Acesso em linha:https://www.mdpi.com/2076-3417/10/18/6151
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