Domain Adaptation in Remote Sensing Image Classification: A Survey

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 15; pp. 1 - 18
• Main Authors: Peng, Jiangtao, Huang, Yi, Sun, Weiwei, Chen, Na, Ning, Yujie, Du, Qian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Classification; Cross-domain classification; distribution difference; domain adaptation; domain adaptation (DA); Domains; Feature extraction; Hyperspectral imaging; Image classification; Image sensors; Kernel; Methods; Principal component analysis; Remote sensing; remote sensing (RS) image; Remote sensing image; Remote sensors; Sun; Surveying; Surveys; Training

Traditional remote sensing (RS) image classification methods heavily rely on labeled samples for model training. When labeled samples are unavailable or labeled samples have different distributions from that of the samples to be classified, the classification model may fail. The cross-domain or cros...