MCMCNet: A Semi-Supervised Road Extraction Network for High-Resolution Remote Sensing Images via Multiple Consistency and Multitask Constraints

Lipeng Gao; Yiqing Zhou; Jiangtao Tian; Wenjing Cai; Zhiyong Lv

doi:10.1109/tgrs.2024.3426561

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MCMCNet: A Semi-Supervised Road Extraction Network for High-Resolution Remote Sensing Images via Multiple Consistency and Multitask Constraints

Lipeng Gao Yiqing Zhou Jiangtao Tian Wenjing Cai Zhiyong Lv

Year: 2024 Journal: IEEE Transactions on Geoscience and Remote Sensing Vol: 62 Pages: 1-16 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tgrs.2024.3426561

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Keywords:

Computer science Consistency (knowledge bases) Remote sensing Task (project management) Extraction (chemistry) Artificial intelligence Computer vision Feature extraction Image resolution Resolution (logic) Pattern recognition (psychology) Data mining Geology Engineering

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Topics

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

MCMCNet: A Semi-Supervised Road Extraction Network for High-Resolution Remote Sensing Images via Multiple Consistency and Multitask Constraints

Metrics

Citation History

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