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- Title
C-UNet: Complement UNet for Remote Sensing Road Extraction.
- Authors
Hou, Yuewu; Liu, Zhaoying; Zhang, Ting; Li, Yujian; Moshou, Dimitrios
- Abstract
Roads are important mode of transportation, which are very convenient for people's daily work and life. However, it is challenging to accuratly extract road information from a high-resolution remote sensing image. This paper presents a road extraction method for remote sensing images with a complement UNet (C-UNet). C-UNet contains four modules. Firstly, the standard UNet is used to roughly extract road information from remote sensing images, getting the first segmentation result; secondly, a fixed threshold is utilized to erase partial extracted information; thirdly, a multi-scale dense dilated convolution UNet (MD-UNet) is introduced to discover the complement road areas in the erased masks, obtaining the second segmentation result; and, finally, we fuse the extraction results of the first and the third modules, getting the final segmentation results. Experimental results on the Massachusetts Road dataset indicate that our C-UNet gets the higher results than the state-of-the-art methods, demonstrating its effectiveness.
- Subjects
MASSACHUSETTS; REMOTE sensing; PRODUCTIVE life span; ARTIFICIAL satellites
- Publication
Sensors (14248220), 2021, Vol 21, Issue 6, p2153
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s21062153