An Attention Feature Interaction Change Detection Method Based on Detail Enhancement for Dual-Temporal Hyperspectral Images-Reference-Cited by-同舟云学术

An Attention Feature Interaction Change Detection Method Based on Detail Enhancement for Dual-Temporal Hyperspectral Images

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Feng Shou¹^ORCID,Zhang Jinghe¹,Huang Fenghua²,Peng Ruihui¹^ORCID,Zhao Chunhui¹

Affiliation:

1. College of Information and Communication Engineering and the Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China

2. Fujian Key Laboratory of Spatial Information Perception and Intelligent Processing, Yango University, Fuzhou, China

Funder

Open Project of Fujian Key Laboratory of Spatial Information Perception and Intelligent Processing, Yango University,

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10614250.pdf?arnumber=10614250

Reference13 articles.

1. Multilevel Features Fused and Change Information Enhanced Neural Network for Hyperspectral Image Change Detection

2. Local Information-Enhanced Graph-Transformer for Hyperspectral Image Change Detection With Limited Training Samples

3. Spatial-Contextual Information Utilization Framework for Land Cover Change Detection With Hyperspectral Remote Sensed Images

4. Spectral-Spatial Feature Extraction for Change Detection in Bi-temporal Hyperspectral Images

5. GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection