WNet: W-Shaped Hierarchical Network for Remote-Sensing Image Change Detection-Reference-Cited by-同舟云学术

WNet: W-Shaped Hierarchical Network for Remote-Sensing Image Change Detection

Published:2023 Issue: Volume:61 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:

Tang Xu¹^ORCID,Zhang Tianxiang¹,Ma Jingjing¹,Zhang Xiangrong¹^ORCID,Liu Fang²,Jiao Licheng¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China

2. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of the Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Fund of National Key Laboratory of Science and Technology on Remote Sensing Information and Imagery Analysis, Beijing Research Institute of Uranium Geology

Fundamental Research Funds for the Central Universities, Innovation Fund of Xidian University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10185449.pdf?arnumber=10185449

Reference67 articles.

1. Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

2. Fully transformer network for change detection of remote sensing images;yan;Proc Asian Conf Comput Vis,2022

3. SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification

4. SwinSUNet: Pure transformer network for remote sensing image change detection;zhang;IEEE Trans Geosci Remote Sens,2022

5. Landslide Recognition by Deep Convolutional Neural Network and Change Detection

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