Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range of fields. Propelled by the powerful feature learning capabilities of deep neural networks, remote sensing image scene...

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Bibliographic Details
Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 13; pp. 3735 - 3756
Main Authors:	Cheng, Gong, Xie, Xingxing, Han, Junwei, Guo, Lei, Xia, Gui-Song
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Artificial neural networks Benchmark testing Benchmarks Classification Deep learning Detection Earth Image analysis Image classification Machine learning Methods Neural networks Polls & surveys Remote sensing remote sensing image scene classification Semantics Sensors Surveying
ISSN:	1939-1404, 2151-1535
Online Access:	Get full text
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