Road Extraction from Remote Sensing Images Using the Inner Convolution Integrated Encoder-Decoder Network and Directional Conditional Random Fields

Road Extraction from Remote Sensing Images Using the Inner Convolution Integrated Encoder-Decoder Network and Directional Conditional Random Fields

Road extraction from remote sensing images is of great significance to urban planning, navigation, disaster assessment, and other applications. Although deep neural networks have shown a strong ability in road extraction, it remains a challenging task due to complex circumstances and factors such as...

Full description

Bibliographic Details
Main Authors: Shuyang Wang, Xiaodong Mu, Dongfang Yang, Hao He, Peng Zhao
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
remote sensing
semantic segmentation
encoder-decoder network
inner convolution
directional conditional random fields
Online Access:https://www.mdpi.com/2072-4292/13/3/465

Internet

https://www.mdpi.com/2072-4292/13/3/465

Similar Items