Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification

Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification

In realistic hyperspectral image (HSI) cross-scene classification tasks, it is ideal to obtain target domain samples during the training phase. Therefore, a model needs to be trained on one or more source domains (SD) and achieve robust domain generalization (DG) performance on an unknown target dom...

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Bibliographic Details
Main Authors: Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
domain generalization
data augmentation
contrastive learning
Online Access:https://www.mdpi.com/2072-4292/17/11/1816
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