Road detection in high-resolution SAR images using Duda and path operators
| Autor: | Ling Tong, Yan Chen, Fanghong Xiao, Longfei Tan, Baolong Wu, Lei He |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Pattern recognition 02 engineering and technology Image segmentation Filter (signal processing) 01 natural sciences Feature (computer vision) Completeness (order theory) Path (graph theory) Artificial intelligence business Image resolution 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2016.7729321 |
| Popis: | In this paper, a method for road detection based on Duda and path operators has been presented. The roads are represented as slender dark regions with constant width and reflectance in the high-resolution SAR images. The path operators (path openings and closings) were performed as morphological filters in retaining linear structures. However, the filters were not sensitive to the width of linear feature. Focused on the limitation of the method, a preprocessing procedure using Duda operators was introduced before adopting the method of morphological profiles with path operators. When the modified method was applied on RADARSAT-2 datasets for different areas, the research results show that the completeness and correctness are over 70% for road detection from SAR images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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