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A New Segmentation Method for Images Degraded by Multiplicative Noise.

Soellner, M. (Vortragender) and Suess, H. (1994) A New Segmentation Method for Images Degraded by Multiplicative Noise. SAR Image Segmentation Workshop, DRA, Great Malvern, 30.6.94..

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Abstract

A Split-and-Merge Process adapted to the statistical characteristics of SAR images is presented. Starting with an initial partition the image is divided in homogeneous quadratic regions first. By hypothesistesting, similar neighbooring regions are found and merged iteratively afterwards. Some results of this algorithm with DLR-ESAR and JPL-AIR-SAR data are shown at last.

Document Type:Conference or Workshop Item (Speech)
Additional Information: LIDO-Berichtsjahr=1994,
Title:A New Segmentation Method for Images Degraded by Multiplicative Noise.
Authors:
AuthorsInstitution or Email of Authors
Soellner, M. (Vortragender)UNSPECIFIED
Suess, H.UNSPECIFIED
Date:1994
Status:Published
Keywords:Split-and-Merge, Image, Segmentation, Split, Polarimetric Image Processing, SAR Data Analysis
Event Title:SAR Image Segmentation Workshop, DRA, Great Malvern, 30.6.94.
HGF - Research field:UNSPECIFIED
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:UNSPECIFIED
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Institut für Hochfrequenztechnik
Deposited By: elib DLR-Beauftragter
Deposited On:02 Apr 2006
Last Modified:27 Apr 2009 08:57

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