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A Multiscale Method for Road Network Extraction from High-Resolution SAR Images Based on Directional Decomposition and Regional Quality Evaluation
- Source :
- Remote Sensing, Vol 13, Iss 1476, p 1476 (2021), Remote Sensing, Volume 13, Issue 8
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Road network is an important part of modern transportation. For the demands of accurate road information in practical applications such as urban planning and disaster assessment, we propose a multiscale method to extract road network from high-resolution synthetic aperture radar (SAR) images, which consists of three stages: potential road area segmentation, preliminary network generation, and road network refinement. Multiscale analysis is implemented using an image pyramid framework together with a fixed-size filter. First, a directional road detector is designed to highlight road targets in feature response maps. Subsequently, adaptive fusion is performed independently at each image scale, followed by a threshold method to produce potential road maps. Then, binary maps are decomposed according to the obtained direction information. For each connected component (CC), quality evaluation is conducted to further distinguish road segments and polynomial curve fitting is adopted as a thinning method. Multiscale information fusion is realized through the weighted sum of road curves. Finally, tensor voting and spatial regularization are employed to generate the final road network. Experiments on three TerraSAR images demonstrate the effectiveness of the proposed algorithm to extract road network completely and correctly.
- Subjects :
- Synthetic aperture radar
Physics::Physics and Society
image pyramid
Computer science
Science
0211 other engineering and technologies
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Regularization (mathematics)
road network extraction
0202 electrical engineering, electronic engineering, information engineering
Segmentation
021101 geological & geomatics engineering
Connected component
business.industry
Detector
Pattern recognition
Filter (signal processing)
SAR images
Feature (computer vision)
Curve fitting
General Earth and Planetary Sciences
020201 artificial intelligence & image processing
Artificial intelligence
tensor voting
business
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 13
- Issue :
- 1476
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....b0a5291feafc29ce8f4e08d268467165