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...
Main Authors: | Sheng-Chieh Hung, Hui-Ching Wu, Ming-Hseng Tseng |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/18/6151 |
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