Road Extraction from Remote Sensing Images Using the Inner Convolution Integrated Encoder-Decoder Network and Directional Conditional Random Fields
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Title
Road Extraction from Remote Sensing Images Using the Inner Convolution Integrated Encoder-Decoder Network and Directional Conditional Random Fields
Authors
Keywords
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Journal
Remote Sensing
Volume 13, Issue 3, Pages 465
Publisher
MDPI AG
Online
2021-01-29
DOI
10.3390/rs13030465
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Related references
Note: Only part of the references are listed.- Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
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- Deep learning
- (2015) Yann LeCun et al. NATURE
- Extracting roads based on Retinex and improved Canny operator with shape criteria in vague and unevenly illuminated aerial images
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- Application of a Fast Linear Feature Detector to Road Extraction From Remotely Sensed Imagery
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