Adaptive Spatial and Difference Learning for Change Detection-Reference-Cited by-同舟云学术

Adaptive Spatial and Difference Learning for Change Detection

Published:2023 Issue: Volume:16 Page:7447-7461
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liu Yangguang¹^ORCID,Liu Fang²^ORCID,Liu Jia¹^ORCID,Tang Xu³^ORCID,Xiao Liang¹^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

2. Nanjing University of Science and Technology, Nanjing, China

3. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi'an, Shaanxi, China

Funder

National Nature Science Foundations of China

Fundamental Research Funds for the Central Universities

Nature Science Foundations of Jiangsu Province, China

Open Research Fund Program of LIESMARS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10191030.pdf?arnumber=10191030

Reference56 articles.

1. A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery

2. ICA and kernel ICA for change detection in multispectral remote sensing images

3. Change Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal Network

4. Graph-based block-level urban change detection using Sentinel-2 time series

5. An object-based change detection approach by integrating intensity and texture differences;huang;Proc IEEE 2nd Int Asia Conf Inform Control Autom Robot,0

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Difference Guidance Learning With Feature Alignment for Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024