Invariant semantic domain generalization shuffle network for cross-scene hyperspectral image classification

Jingpeng Gao; Xiangyu Ji; Fang Ye; Geng Chen

doi:10.1016/j.eswa.2025.126818

ScienceGate Book Chapters

JOURNAL ARTICLE

Invariant semantic domain generalization shuffle network for cross-scene hyperspectral image classification

Jingpeng Gao Xiangyu Ji Fang Ye Geng Chen

Year: 2025 Journal: Expert Systems with Applications Vol: 273 Pages: 126818-126818 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2025.126818

Get Full-Text PDF Get Analytical Report

Keywords:

Hyperspectral imaging Computer science Invariant (physics) Generalization Artificial intelligence Pattern recognition (psychology) Computer vision Mathematics

Metrics

Cited By

24.62

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Invariant semantic domain generalization shuffle network for cross-scene hyperspectral image classification

Metrics

Citation History

Topics

Related Documents

Language-Aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification

Adversarial decoupling domain generalization network for cross-scene hyperspectral image classification

Multi-Modal Domain Generalization for Cross-Scene Hyperspectral Image Classification

Disentanglement-inspired single-source domain-generalization network for cross-scene hyperspectral image classification

ULDGN: Uncertainty-aware language-guided domain generalization network for cross-scene hyperspectral image classification