Remote Sensing Image Semantic Change Detection Boosted by Semi-Supervised Contrastive Learning of Semantic Segmentation-Reference-Cited by-同舟云学术

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Remote Sensing Image Semantic Change Detection Boosted by Semi-Supervised Contrastive Learning of Semantic Segmentation

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Xiuwei¹^ORCID,Yang Yizhe¹^ORCID,Ran Lingyan¹^ORCID,Chen Liang²,Wang Kangwei¹,Yu Lei¹^ORCID,Wang Peng¹^ORCID,Zhang Yanning¹

Affiliation:

1. Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China

2. Information Center, Yellow River Conservancy Commission, Zhengzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Natural Science Basic Research Program of Shaanxi

Natural Science Foundation of Ningbo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10510348.pdf?arnumber=10510348

Reference77 articles.

1. Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images

2. Land-cover change detection using multi-temporal MODIS NDVI data

3. A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011

4. Joint Deep Learning for land cover and land use classification

5. Semantic change detection with hypermaps;Suzuki;arXiv:1604.07513,2016

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