Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/208727
Title: An Advanced Multiscale Edge Detector Based on Gabor Filters for SAR Imagery
Authors: Yuming Xiang;Feng Wang;Ling Wan;Hongjian You
Year: 2017
Publisher: IEEE
Abstract: The ratio of averages is a robust edge detector which provides the property of constant false alarm rate for synthetic aperture radar (SAR) imagery. However, the rectangular window used in the calculation of local mean may cause numerous false maxima. The size of the processing window also has a significant effect on the detection performance, but it is difficult to determine the optimum window size. In this letter, we first propose a new ratio-based detector that is constructed by the Gabor odd filter. The scale of the proposed detector is related to the size of the processing window. Then, edge strength maps extracted by multiscale detectors are combined using an edge tracking algorithm to form a final response. We used the receiver operating characteristic curves to evaluate the performance of the proposed detector. The experimental results on simulated and real-world SAR images show that the proposed multiscale edge detector yields an accurate and consecutive edge response.
URI: http://localhost/handle/Hannan/208727
volume: 14
issue: 9
More Information: 1522,
1526
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7983442.pdf2.77 MBAdobe PDF
Title: An Advanced Multiscale Edge Detector Based on Gabor Filters for SAR Imagery
Authors: Yuming Xiang;Feng Wang;Ling Wan;Hongjian You
Year: 2017
Publisher: IEEE
Abstract: The ratio of averages is a robust edge detector which provides the property of constant false alarm rate for synthetic aperture radar (SAR) imagery. However, the rectangular window used in the calculation of local mean may cause numerous false maxima. The size of the processing window also has a significant effect on the detection performance, but it is difficult to determine the optimum window size. In this letter, we first propose a new ratio-based detector that is constructed by the Gabor odd filter. The scale of the proposed detector is related to the size of the processing window. Then, edge strength maps extracted by multiscale detectors are combined using an edge tracking algorithm to form a final response. We used the receiver operating characteristic curves to evaluate the performance of the proposed detector. The experimental results on simulated and real-world SAR images show that the proposed multiscale edge detector yields an accurate and consecutive edge response.
URI: http://localhost/handle/Hannan/208727
volume: 14
issue: 9
More Information: 1522,
1526
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7983442.pdf2.77 MBAdobe PDF
Title: An Advanced Multiscale Edge Detector Based on Gabor Filters for SAR Imagery
Authors: Yuming Xiang;Feng Wang;Ling Wan;Hongjian You
Year: 2017
Publisher: IEEE
Abstract: The ratio of averages is a robust edge detector which provides the property of constant false alarm rate for synthetic aperture radar (SAR) imagery. However, the rectangular window used in the calculation of local mean may cause numerous false maxima. The size of the processing window also has a significant effect on the detection performance, but it is difficult to determine the optimum window size. In this letter, we first propose a new ratio-based detector that is constructed by the Gabor odd filter. The scale of the proposed detector is related to the size of the processing window. Then, edge strength maps extracted by multiscale detectors are combined using an edge tracking algorithm to form a final response. We used the receiver operating characteristic curves to evaluate the performance of the proposed detector. The experimental results on simulated and real-world SAR images show that the proposed multiscale edge detector yields an accurate and consecutive edge response.
URI: http://localhost/handle/Hannan/208727
volume: 14
issue: 9
More Information: 1522,
1526
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7983442.pdf2.77 MBAdobe PDF