Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification
Author:
Affiliation:
1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
2. School of Control Science and Engineering, Shandong University, Jinan, China
Funder
Zhejiang Provincial Natural Science Foundation of China
Natural Science Foundation of China
Key Research and Development Program of Jiangsu Province
Major Basic Research Projects of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10108005.pdf?arnumber=10108005
Reference65 articles.
1. Multimodal Information Fusion for Weather Systems and Clouds Identification From Satellite Images
2. EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
3. A Unified Framework of Cloud Detection and Removal Based on Low-Rank and Group Sparse Regularizations for Multitemporal Multispectral Images
4. Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
5. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
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