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

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 o...

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Main Author:	Then, Patrick Hang Hui.
Format:	Thesis
Language:	English
Published:	2001
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf
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id	my-unimas-ir.499
record_format	uketd_dc
spelling	my-unimas-ir.4992023-05-11T08:04:59Z Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images 2001 Then, Patrick Hang Hui. TK Electrical engineering. Electronics Nuclear engineering 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. Faculty of Computer Science and Information Technology 2001 Thesis http://ir.unimas.my/id/eprint/499/ http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf text en validuser masters Universiti Malaysia Sarawak (UNIMAS) Faculty of Computer Science and Information Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Then, Patrick Hang Hui. Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images
description	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.
format	Thesis
qualification_level	Master's degree
author	Then, Patrick Hang Hui.
author_facet	Then, Patrick Hang Hui.
author_sort	Then, Patrick Hang Hui.
title	Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images
title_short	Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images
title_full	Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images
title_fullStr	Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images
title_full_unstemmed	Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images
title_sort	hybrid 2d phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images
granting_institution	Universiti Malaysia Sarawak (UNIMAS)
granting_department	Faculty of Computer Science and Information Technology
publishDate	2001
url	http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf
_version_	1783727888536698880

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

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