Lightweight Spectral–Spatial Feature Extraction Network Based on Domain Generalization for Cross-Scene Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Lightweight Spectral–Spatial Feature Extraction Network Based on Domain Generalization for Cross-Scene Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Cui Ying¹^ORCID,Zhu Longyu¹^ORCID,Zhao Chunhui¹^ORCID,Wang Liguo²^ORCID,Gao Shan¹^ORCID

Affiliation:

1. College of Information and Communication Engineering, the Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, and the Heilongjiang Collaborative Innovation Center of Advanced Intelligent Perception Technology, Harbin Engineering University, Harbin, China

2. College of Information and Communication Engineering, Dalian Minzu University, Dalian, China

Funder

National Natural Science Foundation of China

Heilongjiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10596290.pdf?arnumber=10596290

Reference50 articles.

1. A Spatial–Spectral Combination Method for Hyperspectral Band Selection

2. Deep Dynamic Adaptation Network Based on Joint Correlation Alignment for Cross-Scene Hyperspectral Image Classification

3. Bi-Classifier Adversarial Network for Cross-Scene Hyperspectral Image Classification

4. BSFormer: Transformer-Based Reconstruction Network for Hyperspectral Band Selection

5. Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey