Title :
Combining edge detection algorithms in intensity SAR images
Author :
Fombellida, Juan ; Melgar, Ignacio ; Seijas, Juan
Author_Institution :
Sener Ing. y Sist. S.A., Spain
Abstract :
Edge-detection algorithms are applied to SAR images in order to generate different edge strength maps. The results obtained can be combined to improve the final output in order to get a more defined edge strength map. In this paper different combinations of methods are implemented and evaluated using a criterion based on the quality of the detected edges over the original image. The aspects considered are the false alarm rate, edge thickness and discontinuities inside the detected edges. The results obtained with the edge enhancement techniques are compared and conclusions about the best combination strategies are extracted.
Keywords :
edge detection; radar imaging; synthetic aperture radar; SAR images; edge detection algorithms; edge strength maps; Automation; Data mining; Detectors; Frequency; Image edge detection; Pixel; Signal generators; Speckle; Synthetic aperture radar; Wavelet transforms;
Conference_Titel :
Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-1-4244-3759-7
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2009.5195855