DRCNet: Road Extraction From Remote Sensing Images Using DenseNet With Recurrent Criss-Cross Attention and Convolutional Block Attention Module
Extracting road networks from remote sensing images holds critical implications for various applications including autonomous driving, path planning, and road navigation. Despite its importance, the task remains arduous due to the complex backdrops in remote sensing imagery, intricate road geometrie...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10315115/ |