AI SearchSatellite image texture analysis based on frequential and spatial relationships : (Record no. 104152)
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| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260818213314.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 020208s2001 th uu m rtt 0| a1eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b11844504 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.SR-01-09 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Do Minh Phuong |
| 245 10 - TITLE STATEMENT | |
| Title | Satellite image texture analysis based on frequential and spatial relationships : |
| Remainder of title | the PAPRI method |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Bangkok : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2001 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 66 leaves |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. SR-01-09 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Eng.) - Asian Institute of Technology, 2001 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The ultimate aim of any pattern recognition system is to achieve the best possil: classification accuracy for the problem to be solved (J.S. Sanchez, 1997). Classification remote sensing images is usually carried out by using approaches aimed at minimizing t overall error affecting land-cover maps (Lorenzo Bruzzone, 2000). A wide range of patte recognition techniques have appeared during the last two decades for informati extraction from remotely sensed data (Farid Melgan~ 2000). The most popular technique the maximum likelihood classification method known for its good performance a robustness. In addition, an approach to the problem of classification using artificial neu networks has been developed (S.B. Serpico and F. Roli, 1995). The implementation other image classification methods often result into fuzzy image map, where noise arise~ one of the most vital obstacles to a good landscape image. As a matter of fact, m< research conducted on satellite image classification have been focusing on this soluti However, very few applications can partly solve the problem. Recognition of objects extracted from remotely sensed imagery requires matching of object properties with prior stored knowledge. Various properties were use1 this study to form the model of a priori knowledge. The PAPRI (P Aysages defini PRiori - Landscape a priori Defined) method (Frederic Borne, 1994) proposes a good ' for classification of an image that results in a thematic layer with less noise. That met segments an image according to its textural properties as previously defined. It giv1 cutting of the image in texturally homogeneous areas, called "Landscape Units". ' product is nearer of a map than a usual classification as it proposes a synthetic fast global understanding of the image. Although there has been a lot of developmen segmentation of gray tone images in this field and other fields, like robotic vision, t has been little progress in segmentation of color or multi-band imagery. The paper pres an original way for treating a remote sensing image, with the goal to integrate it in a (Geographic Information System). The result of texture analysis is a raster imaE matrix). It is not really ready for use in a GIS. Therefore it is vectorised and a con characterizing attribute is assigned to big units to obtain the "Landscape Units" layer, rather than "Physical Environment" oriented (Frederic Borne, 1994). After ~ topological operations, it will constitute an important element of our information bas1 implement the method, an image processing software has been developed. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Remote-sensing images |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Pattern recognition systems |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Borne, Frederic, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Honda, Kiyoshi, |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Andrianasolo, Haja, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Government of Japan, |
| Relator term | Scholarship donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. SR-01-09 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B09436">http://203.159.5.9/ait-thesis/detail.php?q=B09436</a> |
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| a | .b11844504 |
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| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 020208 |
| First date, FD (RLIN) | m |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 22-AIT Thesis (Replacement) |
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| Koha item type | 20-AIT Publication |
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| Koha item type | 40-Archives |
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| Barcode | Barcode : 30050120694376 |
| CREATED | CREATED : 2014-04-28 |
| RECORD Id | RECORD # : i12792597 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | 50.00 | AIT Thesis no.SR-01-09 | 30050120694376 | 18/08/2026 | 3 | 18/08/2026 | 22-AIT Thesis (Replacement) | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 18/08/2026 | 50.00 | AIT Thesis no.SR-01-09 | 30050120694392 | 18/08/2026 | 4 | 18/08/2026 | 20-AIT Publication | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.SR-01-09 | 30050160023544 | 18/08/2026 | 1 | 18/08/2026 | 40-Archives | |||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 18/08/2026 | AIT Thesis no.SR-01-09 | 30050121017973 | 18/08/2026 | 1 | 18/08/2026 | 20-AIT Publication |