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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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Bibliographic Details
Main Author: Then, Patrick Hang Hui.
Format: Thesis
Language:English
Published: Faculty of Computer Science and Information Technology 2001
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf
http://ir.unimas.my/id/eprint/499/
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spelling my.unimas.ir.4992023-05-11T08:04:59Z http://ir.unimas.my/id/eprint/499/ Hybrid 2D phase unwrapping methodology using spatial fuzzy clustering and neurofuzzy classification with application in sar images 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 NonPeerReviewed text en http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf 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 (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
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
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
publisher Faculty of Computer Science and Information Technology
publishDate 2001
url http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf
http://ir.unimas.my/id/eprint/499/
_version_ 1767209766870843392
score 13.211869

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