Segmentation, regroupement et classification pour l'analyse d'image polarimétrique radar

Authors: El Mabrouk, Abdelhai
Advisor: Beaulieu, Jean-Marie
Abstract: Radar remote sensing images are characterized by an important multiplicative noise, the speckle. The polarization of the wave is used to obtain more information about the ground target. The scattering type is obtained from the signal decomposition : volume, surface or double bond. The objective of the thesis is to show and illustrate the advan- tages of the hierarchical segmentation and clustering for the analysis of polarimetric radar images. Filtering is needed to reduce the noise in H/A/alpha classification. We propose to use the hierarchical segmentation and the hierarchical clustering for a first grouping of the pixels. This produces a simple image while preserving the spatial infor- mation. The results of H/A/alpha classification and Wishart clustering are improved with this preprocessing. Two polarimetric images SAR are used for the study.
Document Type: Mémoire de maîtrise
Issue Date: 2012
Open Access Date: 18 April 2018
Grantor: Université Laval
Collection:Thèses et mémoires

Files in this item:
Description SizeFormat 
28912.pdfTexte40.94 MBAdobe PDFThumbnail
All documents in CorpusUL are protected by Copyright Act of Canada.