A G0 Statistical Model Based Level Set Approach for SAR Image Segmentation
Konferenz: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
07.06.2010 - 10.06.2010 in Aachen, Germany
Tagungsband: EUSAR 2010
Seiten: 4Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Feng, Jilan; Cao, Zongjie; Pi, Yiming (School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 617731, China)
A variational level set approach based on the G0 distribution is proposed for SAR image segmentation problem. By introducing G0 distribution, the proposed method is more applicable for SAR image segmentation. To implement the segmentation, the parameters of the G0 distribution are estimated by the method based on Mellin transform, and level set function is applied for the numerical solution of PDEs which are derived from the minimization of the energy function. The experiments based on both synthetic and real SAR images prove that the proposed algorithm is applicable for a series of SAR images with different scenes.