Road Extraction from Very-High-Resolution Remote Sensing Images via a Nested SE-Deeplab Model
Automatic road extraction from very-high-resolution remote sensing images has become a popular topic in a wide range of fields. Convolutional neural networks are often used for this purpose. However, many network models do not achieve satisfactory extraction results because of the elongated nature a...
Main Authors: | Yeneng Lin, Dongyun Xu, Nan Wang, Zhou Shi, Qiuxiao Chen |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/18/2985 |
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Correction: Lin, Y., et al. Road Extraction from Very-High-Resolution Remote Sensing Images via a Nested SE-Deeplab Model. <i>Remote Sens.</i> 2020, <i>12</i>, 2985
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