Robust change detection for remote sensing images based on temporospatial interactive attention module-Reference-Cited by-同舟云学术

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Robust change detection for remote sensing images based on temporospatial interactive attention module

Published:2024-04 Issue: Volume:128 Page:103767
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Wei Jinjiang^ORCID,Sun Kaimin^ORCID,Li Wenzhuo,Li Wangbin,Gao Song,Miao Shunxia,Zhou Qinhui,Liu Junyi

Publisher

Elsevier BV

Reference35 articles.

1. UCDNet: A deep learning model for urban change detection from bi-temporal multispectral sentinel-2 satellite images;Basavaraju;IEEE Trans. Geosci. Remote Sens.,2022

2. Remote sensing image change detection with transformers;Chen;IEEE Trans. Geosci. Remote Sens.,2022

3. A spatial-temporal attention-based method and a new dataset for remote sensing image change detection;Chen;Remote Sens.,2020

4. FCCDN: Feature constraint network for VHR image change detection;Chen;ISPRS J. Photogramm. Remote Sens.,2022

5. Fully convolutional siamese networks for change detection;Daudt,2018

Cited by 1 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. A Novel UNet 3+ Change Detection Method Considering Scale Uncertainty in High-Resolution Imagery;Remote Sensing;2024-05-22

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