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Improved ROEWA SAR Image Edge Detector Based on Curvilinear Structures Extraction
- Source :
- IEEE Geoscience and Remote Sensing Letters. 17:631-635
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- By introducing curvilinear structures extraction (CSE) instead of watershed algorithm (WA) or nonmaximum suppression (NMS) to edge strength map (ESM), an improved ratio of exponentially weighted averages (ROEWA) edge detector with better capacity for weak edges detection is proposed to extract smooth edges and edge direction of synthetic aperture radar (SAR) images. Using the ROEWA, the ESM is calculated. Then the CSE algorithm is employed to extracted edges, by acquiring eigenvectors and eigenvalues of the Hessian matrix, the improved ESM (IESM) is obtained, which ensures the good weak edge detection capacity and smoothness of edges. Experimental results on simulated and real SAR images show that the improved ROEWA based on CSE attains better performance than the one using WA or NMS.
- Subjects :
- Hessian matrix
Synthetic aperture radar
Curvilinear coordinates
Detector
0211 other engineering and technologies
02 engineering and technology
Geotechnical Engineering and Engineering Geology
Edge detection
Speckle pattern
symbols.namesake
Kernel (image processing)
symbols
Electrical and Electronic Engineering
Algorithm
Eigenvalues and eigenvectors
021101 geological & geomatics engineering
Mathematics
Subjects
Details
- ISSN :
- 15580571 and 1545598X
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- IEEE Geoscience and Remote Sensing Letters
- Accession number :
- edsair.doi...........5c83a26d08214e5829f4f885059b5263