Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification

• Published in: IEEE transaction on neural networks and learning systems Vol. 35; no. 2; pp. 1912 - 1925
• Main Authors: Zhang, Yuxiang, Li, Wei, Zhang, Mengmeng, Wang, Shuai, Tao, Ran, Du, Qian
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Alignment; Classification; Cross-scene; distribution alignment; domain adaption; Feature extraction; few-shot learning (FSL); graph neural network (GNN); hyperspectral image classification; Hyperspectral imaging; Image classification; Labels; Learning; Power capacitors; Spatial data; Task analysis; Testing; Training

Most domain adaptation (DA) methods in cross-scene hyperspectral image classification focus on cases where source data (SD) and target data (TD) with the same classes are obtained by the same sensor. However, the classification performance is significantly reduced when there are new classes in TD. I...