Coupling of deep learning and remote sensing: a comprehensive systematic literature review
Author:
Affiliation:
1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China
2. Department of Geological Sciences, Jahangirnagar University, Dhaka, Bangladesh
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2161856
Reference179 articles.
1. Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI
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3. Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery
4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
5. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
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