Boosting Binary Object Change Detection via Unpaired Image Prototypes Contrast-Reference-Cited by-同舟云学术

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Boosting Binary Object Change Detection via Unpaired Image Prototypes Contrast

Published:2024 Issue: Volume:62 Page:1-9
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Mingwei¹,Li Qiang²^ORCID,Yuan Yuan²^ORCID,Wang Qi²^ORCID

Affiliation:

1. School of Computer Science and the School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi’an, China

2. School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10546320.pdf?arnumber=10546320

Reference52 articles.

1. Earthquake building damage detection with object-oriented change detection

2. Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters

3. Monitoring of Trees’ Health Condition Using a UAV Equipped with Low-cost Digital Camera

4. Anarchic Urban Expansion Detection and Monitoring with Integration of Expert Knowledge

5. ISNet: Towards Improving Separability for Remote Sensing Image Change Detection

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