Land use classification based on the combination of binary decision tree and pyramid segmentation techniques (Record no. 68121)

MARC details
000 -LEADER
fixed length control field 03785nam a2200433 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818145146.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 040698 th eng
035 ## - SYSTEM CONTROL NUMBER
System control number .b10395192
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no. CS-92-20
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ou, Lien-wei
245 10 - TITLE STATEMENT
Title Land use classification based on the combination of binary decision tree and pyramid segmentation techniques
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 1992
300 ## - PHYSICAL DESCRIPTION
Extent 80 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. CS-92-20
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 1992
520 ## - SUMMARY, ETC.
Summary, etc. This study combines the pyramid segmentation techniques with binary decision tree algorithm to create accurate and more efficient methods for supervised classification of multispectral images. First, three basic discriminant methods were implemented, namely, maximum likelihood function (MLD), best linear discriminant function (BLD) and then binary decision tree (BDT) is introduced, where the BLD is utilized as a decision rule . Experiments indicate that the decision tree method significantly improves upon the efficiency of classification and also gives satisfactory classification accuracy. Based on these three discriminant functions, pyramid segmentation techniques are applied as the preprocessing procedure. The performance of classification is also obviously improved. Two new pyramid segmentation techniques homogeneous nonoverlap pyramid and efficient overlap pyramid method - are introduced in this study. Both of them much reduce the preprocessing time compared to the conventional overlap pyramid segmentation method and also produce more similar segmented data to the original image. In addition, they can be used as real-time application combined with MLD and BLD, to reduce the storage space and increase the processing speed. All proposed methods have been applied to the MOS-1 (Marine Observ ation Satellite) multispectral images of Bangkok and Chiangmai are a, and good results have been obtained. It is shown that pyramid segmentation coii1bined with binary decision tree classifier is an attractive method for the classification of multispectral images.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques
-- Remote sensing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hosomura, Tsukasa,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huynh, Ngoc Phien,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sadananda, Ramakoti,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element The R.O.C. Government,
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-92-20
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B16631">http://203.159.5.9/ait-thesis/detail.php?q=B16631</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b10395192
b mnait
c v
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 250325
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 2
Cataloger's initials, CIN (RLIN) 951012
First date, FD (RLIN) m
-- a
-- v
-- 0
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050003100731
CREATED CREATED : 1994-05-17
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CREATED CREATED : 1994-05-17
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CREATED CREATED : 2016-10-06
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Cost, normal purchase price
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Thesis no. CS-92-20 30050003100731 18/08/2026 1 18/08/2026 20-AIT Publication  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026   AIT Thesis no. CS-92-20 30050003100749 18/08/2026 2 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. CS-92-20 30050120357321 18/08/2026   18/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Thesis no. CS-92-20 30050120915060 18/08/2026 3 18/08/2026 20-AIT Publication 50.00
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