Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images

Then,, Patrick Hang Hui. (2001) Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images. Masters thesis, Universiti Malaysia Sarawak.

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Abstract

Existing phase unwrapping (PU) methodology has arbitrary settings in selection of most optimal algorithm for a particular phase image. These arbitraries impose partially trial and error basis in finding for the best phase unwrapping algorithm and tinkering quality map in order to produce the most optimal unwrapped solution. Hence, a hybrid PU methodology is proposed and developed.

Item Type: Thesis (Masters)
Uncontrolled Keywords: hybrid 2D, fuzzy clustering, Universiti Malaysia Sarawak, UNIMAS, postgraduate, research, IPTA, education, universiti, university, kuching, samarahan, sarawak, malaysia
Subjects: A General Works > AC Collections. Series. Collected works
A General Works > AC Collections. Series. Collected works

T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 18 Dec 2013 02:09
Last Modified: 17 Aug 2015 07:47
URI: http://ir.unimas.my/id/eprint/499

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