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.

Joint despeckling and edge detection of SAR images based on the Mumford-Shah functional / S., Belfiore; R., Scopigno; M., Grangetto; Magli, Enrico. - (2004), pp. 3915-3918. (Intervento presentato al convegno IGARSS 2004 - IEEE International Symposium on Geoscience and Remote Sensing) [10.1109/IGARSS.2004.1369982].

Joint despeckling and edge detection of SAR images based on the Mumford-Shah functional

MAGLI, ENRICO
2004

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.
2004
0780387422
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/1413856
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