A fuzzy pixel decomposition approach in the classification of remotely sensed data (Record no. 48500)

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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818114756.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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035 ## - SYSTEM CONTROL NUMBER
System control number .b10030074
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no. CS-91-25
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pan, Rui
245 12 - TITLE STATEMENT
Title A fuzzy pixel decomposition approach in the classification of remotely sensed data
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 1991
300 ## - PHYSICAL DESCRIPTION
Extent 85 p.
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. CS-91-25
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Enginering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 1991
520 ## - SUMMARY, ETC.
Summary, etc. In conventional remote sensing classification, most classification results are represented in a one-pixel-one-class mapping in which a pixel is an indivisible minimum unit no matter whether it is class mixture pixel or not, which greatly and always limits the improvement of classification and boundary accuracies. This work describes a new classification approach of using fuzzy pixel decomposition algorithm to deal with the class mixture problem, where each pixel is represented as a fuzzy pixel and divided into non-fuzzy sub-pixels. The algorithm consists of two major steps: Pixel membership grade analysis, and Pixel decomposition, in which fuzzy set theory is applied for representing land cover membership grade for each pixel, neural network and statistical approaches are used for analyzing pixel class membership grade. Afterwards, each pixel is decomposed into sub-pixels, and the membership grades of neighboring pixels are used for identifying the-position of each sub-pixel. An idea of distance in neural network is presented, and a method of selecting minimum training data is also described in this work. Evaluations were made among conventional, neural network and pixel decomposition classifiers. The results of classifying TM and MOS-1 images in the areas of Thailand were presented and their accuracies were analyzed which showed the improvement in both classification and boundary accuracies as well as thematic map. The studies show that class mixture in a pixel can be identified, and the fuzzy pixel decomposition ·algorithm is a useful tool in improving final classification output of remotely sensed data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Land use
General subdivision Remote sensing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hosomura, Tsukasa,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Vilas Wuwongse,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhao, Ming,
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. CS-91-25
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B17347">http://203.159.5.9/ait-thesis/detail.php?q=B17347</a>
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Operator's initials, OID (RLIN) 2
Cataloger's initials, CIN (RLIN) 951012
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)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
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CREATED CREATED : 2016-08-06
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 3.00   AIT Thesis no. CS-91-25 30050120677017 18/08/2026 3 18/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026     AIT Thesis no. CS-91-25 30050120372742 18/08/2026   18/08/2026 40-Archives
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