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

• 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
• DOI: 10.1109/JSTARS.2020.3005403

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...