TDPDA: A Triple-Classifier-Based Dynamic Selection Progressive Domain Adaptation Method for Hyperspectral Image Classification

Cross-scene hyperspectral image classification (HSIC) is limited by domain shift and the paucity of labeled samples. Although dual-classifier domain adaptation methods have achieved good classification performance in HSIC, they still face some challenges, such as being prone to prediction deadlock,...

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Principais autores:	Shiyao Fan, Jinghui Yang, Liguo Wang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Classification hyperspectral image pseudolabel triple classifiers unsupervised domain adaptation (UDA)
גישה מקוונת:	https://ieeexplore.ieee.org/document/11204832/
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