Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification

Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification

Enhancing target domain discriminability is a key focus in Unsupervised Domain Adaptation (UDA) for HyperSpectral Image (HSI) classification. However, existing methods overlook bringing similar cross-domain samples closer together in the feature space to achieve the indirect transfer of source domai...

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Bibliographic Details
Main Authors: Qiusheng Chen, Zhuoqun Fang, Shizhuo Deng, Tong Jia, Zhaokui Li, Dongyue Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
domain adaptation
multi-task learning
inductive transfer
contrastive learning
hyperspectral image classification
data augmentation
Online Access:https://www.mdpi.com/2072-4292/17/9/1592
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