RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model-Reference-Cited by-同舟云学术

RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model

Author:

Wang Mingze¹,Su Lili²,Yan Cilin¹^ORCID,Xu Sheng¹^ORCID,Yuan Pengcheng³,Jiang Xiaolong³,Zhang Baochang⁴^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

3. Xiaohongshu Inc., Beijing, China

4. Hangzhou Research Institute, Institute of Artificial Intelligence, Beihang University, Beijing, China

Funder

National Key Research and Development Program of China

Zhejiang Provincial Natural Science Foundation of China

Beijing Natural Science Foundation

National Natural Science Foundation of China

“One Thousand Plan” Projects in Jiangxi Province

Beijing Municipal Science and Technology Commission, Administrative Commission of Zhongguancun Science Park

Taiyuan City “Double Hundred Research Action”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference87 articles.

5. Time travelling pixels: Bitemporal features integration with foundation model for remote sensing image change detection;Chen;arXiv:2312.16202,2023