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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| Format: | Thesis |
| Language: | English |
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Faculty of Computer Science and Information Technology
2001
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/499/ http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf |
| _version_ | 1848834553656901632 |
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| author | Then, Patrick Hang Hui. |
| author_facet | Then, Patrick Hang Hui. |
| author_sort | Then, Patrick Hang Hui. |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T05:53:49Z |
| format | Thesis |
| id | unimas-499 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:53:49Z |
| publishDate | 2001 |
| publisher | Faculty of Computer Science and Information Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-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). |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/499/ http://ir.unimas.my/id/eprint/499/8/2011-08-thThenPHHfull.pdf |