DocumentCode :
2139135
Title :
Joint despeckling and edge detection of SAR images based on the Mumford-Shah functional
Author :
Belfiore, S. ; Scopigno, R. ; Grangetto, M. ; Magli, E.
Author_Institution :
Ist. Superiore Mario Boella, Torino
Volume :
6
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
3915
Abstract :
In this paper, we propose a joint despeckling and edge detection algorithm based on the Mumford-Shah functional, which accomplishes the image filtering and segmentation as a result of an analytical variational problem. This approach turns out to be well suited to jointly despeckle and segment SAR image data; the experimental results demonstrate that the proposed technique yields high quality despeckling without impairing critical image features and with the additional advantage to provide a detailed edge map
Keywords :
edge detection; filtering theory; geophysical signal processing; geophysical techniques; image segmentation; remote sensing by radar; speckle; synthetic aperture radar; variational techniques; Mumford-Shah functional; SAR images; analytical variational problem; edge detection; geophysical signal processing; image despeckling; image features; image filtering; image segmentation; Algorithm design and analysis; Filtering; Image analysis; Image edge detection; Image segmentation; Noise reduction; Optical scattering; Radar scattering; Speckle; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1369982
Filename :
1369982
Link To Document :
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