FTRNet: triplet fusion temporal relationship network for change detection in bitemporal remote sensing images-Reference-Cited by-同舟云学术

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FTRNet: triplet fusion temporal relationship network for change detection in bitemporal 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:

Wu Wei¹²,Li Tong¹,Xuan Qi³,Wan QiMing²,Chen Zuohui³

Affiliation:

1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

2. Hikvision Research Institute, Hangzhou Hikvision Digital Technology Co Ltd, Qianmo Road, Hangzhou, Zhejiang, China

3. Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

Funder

Key Research and Development Program of Zhejiang Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2024.2353253

Reference46 articles.

1. Uncertain future for vegetation cover

2. A Transformer-Based Siamese Network for Change Detection

3. Remote Sensing Image Change Detection With Transformers

4. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

5. Continuous Cross-Resolution Remote Sensing Image Change Detection

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