has been cited by the following article(s):
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[1]
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MSACon: Mining Spatial Attention-Based Contextual Information for Road Extraction
IEEE Transactions on Geoscience and Remote Sensing,
2022
DOI:10.1109/TGRS.2021.3073923
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[2]
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Multi-channel recurrent attention network for building extraction from high resolution remote sensing images
Measurement Science and Technology,
2022
DOI:10.1088/1361-6501/ac4d5f
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[3]
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MSPNet: Multi-Scale Strip Pooling Network for Road Extraction from Remote Sensing Images
Applied Sciences,
2022
DOI:10.3390/app12084068
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[4]
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Research on Road Extraction Algorithm Based on Improved Otsu’s Thresholding Method
Journal of Physics: Conference Series,
2022
DOI:10.1088/1742-6596/2364/1/012064
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[5]
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Cross-domain road detection based on global-local adversarial learning framework from very high resolution satellite imagery
ISPRS Journal of Photogrammetry and Remote Sensing,
2021
DOI:10.1016/j.isprsjprs.2021.08.018
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[6]
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Lane-Level Road Extraction from High-Resolution Optical Satellite Images
Remote Sensing,
2019
DOI:10.3390/rs11222672
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