Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
Author:
Affiliation:
1. Mississippi State University, Department of Electrical and Computer Engineering, Mississippi State,
2. University of Malaya, Faculty of Computer Science and Information Technology, Kuala Lumpur
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference419 articles.
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5. Kernel-based methods for hyperspectral image classification
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