A dual-difference change detection network for detecting building changes on high-resolution remote sensing images-Reference-Cited by-同舟云学术

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A dual-difference change detection network for detecting building changes on high-resolution remote sensing images

Published:2024-01 Issue:1 Volume:39 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Xu Zhongrong¹²,Zhang Chengkun¹²,Qi Jun¹²,Li Xilai³,Yao Bin¹²,Wang Lu¹²

Affiliation:

1. Departmen of Computer Technology and Applications, Qinghai University, Xining, QingHai, China

2. Qinghai Key Laboratory of Media Integration Technology and Communication, Qinghai University, Xining, Qinghai, China

3. College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai, China

Funder

The National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2024.2322080

Reference40 articles.

1. Bandara WG Patel VM. 2022. A transformer-based siamese network for change detection. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. p. 207–210. doi:10.1109/IGARSS46834.2022.9883686.

2. RSCDNet: A Robust Deep Learning Architecture for Change Detection From Bi-Temporal High Resolution Remote Sensing Images

3. BCDetNet: a deep learning architecture for building change detection from bi-temporal high resolution satellite images

4. UCDNet: A Deep Learning Model for Urban Change Detection From Bi-Temporal Multispectral Sentinel-2 Satellite Images

5. MSF-Net: A Multiscale Supervised Fusion Network for Building Change Detection in High-Resolution Remote Sensing Images

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