STCD: efficient Siamese transformers-based change detection method for remote sensing images-Reference-Cited by-同舟云学术

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STCD: efficient Siamese transformers-based change detection method for remote sensing images

Published:2023-01-24 Issue: Volume: Page:1-20
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Wang Decheng¹^ORCID,Chen Xiangning¹,Guo Ningbo¹²,Yi Hui³,Li Yinan¹

Affiliation:

1. Space Information Academic, Space Engineering University, Beijing, China

2. Department of Police Equipment Technology, Chinese People’s Armed Police Forces Research institute, Beijing, China

3. China Satellite Maritime Tracking and Control Department, Jiangyin, China

Funder

Military Commission Science and Technology Committee Leading Fund

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2157762

Reference55 articles.

1. Deep learning for change detection in remote sensing: a review

2. Bandara, W. G. C., and V. M. Patel. 2022. “A Transformer-Based Siamese Network for Change Detection.” arXiv preprint arXiv:2201.01293.

3. Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks

4. Cheng, W., Y. Zhang, X. Lei, W. Yang, and G. Xia. 2020. “Semantic Change Pattern Analysis.” arXiv preprint arXiv:2003.03492.

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