Automated damage detection of buildings from high resolution satellite images case study : (Record no. 10123)

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005 - DATE AND TIME OF LATEST TRANSACTION
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fixed length control field 030530s2002 th u m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b11885038
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.SR-02-09
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Trinh Thi Phin
245 10 - TITLE STATEMENT
Title Automated damage detection of buildings from high resolution satellite images case study :
Remainder of title the 2001 Gujarat, India earthquake
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2002
300 ## - PHYSICAL DESCRIPTION
Extent 58 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. SR-02-09
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Eng.) - Asian Institute of Technology, 2002
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of requirements for the degree of Master of Engineering, School of Advanced Technologies
520 ## - SUMMARY, ETC.
Summary, etc. Mapping of the distribution damaged building after earthquake is important to know where is the building that collapsed. Earthquake events are usually of short duration. It is very important to obtain real-time information of building damage in the urban area in order to rescue the people that trapped on the building. In this study, a maximum likelihood classification image is used. An automatic detection method is built for real time monitoring. This method produces distribution map as final output from high- resolution satellite image. Once a high-resolution image obtained after the event, a final output is provided concurrently with existing building damaged situation. At the first stage, a single satellite image is classified to extirpate the extractable classes. Principal component analysis is applied on the image after removing the extractable classes. New image is created by band mathematical operation, which is the division of the first component image to the all band of the image after removing the extractable classes. At the second stage, this new image is classified with the same position of the training data but the classes that correspond to the extractable are pruned. Then, the building damaged level will be presented on the original image. Through this simulation method, damaged buildings are automatically mapped as the presentation of real-time distribution. This method inherits the classification of land cover. This method presents good results for the urban area classes. In particular, the class denoting collapsed buildings agreed well with the actual situation of damaged building, and the application of this method to real-time earthquake disaster management can be expected.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Buildings
General subdivision Earthquake effects
Geographic subdivision India
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Remote sensing images
Geographic subdivision India
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yamazaki, Fumio,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yokoyama, Ryuzo,
Relator term Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kusanagi, Michiro,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Borne, Frederic,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element ASEAN Foundation,
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-02-09
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B07519">http://203.159.5.9/ait-thesis/detail.php?q=B07519</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
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Cataloger's initials, CIN (RLIN) 030530
First date, FD (RLIN) m
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
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Koha item type 40-Archives
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Holdings
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 AIT Publications 17/08/2026 50.00   AIT Thesis no.SR-02-09 30050120694285 17/08/2026 3 17/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Thesis no.SR-02-09 30050120694319 17/08/2026 4 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT Thesis no.SR-02-09 30050160022892 17/08/2026 1 17/08/2026 40-Archives
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