ALSwave : (Record no. 4036)

MARC details
000 -LEADER
fixed length control field 06179nas|a2200505 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817162137.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 040806s2003 th uu m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b11935972
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Diss. no.SR-03-03
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Vu Tuong Thuy
245 10 - TITLE STATEMENT
Title ALSwave :
Remainder of title a new method for filtering airborne laser scanner data and extracting building features in urban areas
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2003
300 ## - PHYSICAL DESCRIPTION
Extent 102 p.
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. SR-03-03
500 ## - GENERAL NOTE
General note A dissertation submitted in pa1tial fulfillment of the requirements for the degree of Doctor of Engineering, School of Advanced Technologies
520 ## - SUMMARY, ETC.
Summary, etc. Airborne laser scanner (ALS), or Light Detection And Ranging (LIDAR) technique is becoming a common operational tool in remote sensing, photogrammetry, survey and mapping. Its application is also growing in various fields. The technique is capable of providing dense and accurate elevation cloud points. The cost to produce the elevation data from ALS is significant less than other traditional acquisition techniques. As a matter of fact, the commercialization of ALS has expanded rapidly. For the application that requires high density and high accuracy elevation data, such as urban planning and management, ALS is the most potential provider. However, the post-processing of ALS data after surveying flight remains as unsolved problem. Post-processing the ALS data is challenging due to the complex distribution of objects on earth's surface and still in development stage. The prime objective of this research is to find out a new solution for this problem, especially for the ALS acquired data over urban area. Essentially, this study addresses the basic question of how to filter and how to extract the features from ALS data. The problem of filtering ALS data has been investigated so far with varieties of algorithms, but they still suffer from different magnitude of drawbacks. This study proposed a new and improved method, based on multi-resolution approach. Wavelet was used to filter the laser scanner data. This enabled the classification of objects based on their size and the efficiency to filter out unwanted information at a specific resolution. The proposed algorithm, therefore, named ALSwave (Airborne Laser Scanner Wavelet) method. ALSwave was tested on the acquired ALS data from two center urban areas of Tokyo, Japan and Stuttgart, Germany. Two different kinds of ALS data were used. The results showed a well-filtered bare earth surface coupled with acceptable computational time. The comparison between the filtered bare ea1th surface by ALSwave and the manually filtered one produced good RMS (root means squared) error of 0.4 m and 1.3 m for Tokyo data and Stuttgart data, respectively. The extraction of the target features from the laser cloud points has become an interesting research topic with the emergence and implementation of several new algorithms operating on high-density laser points. However, the adoption of lowdensity ALS data in extraction faces the significant difficulties due to the lack of structural and textural information. Moreover, the extraction process becomes more challenging in a dense urban area, which contains lots of skyscrapers, interspersed with a myriad of low and small houses along with crowded outdoor human activities. The study focused on the extraction of buildings and generation of 3D building database. To extract the buildings in a dense urban area from the low-density ALS data with the assistance of extractable information from the aerial photographs, this study designed and implemented another new approach, which was integrated with the wavelet-based filtering (ALSwave). The implemented approach was tested in Shinjuku-ku, Tokyo, Japan, and the result was excellently matched with the existing 2D vector data. The successful operation of the two new approaches demonstrate that waveletbased approach has opened a new way to filter the crude laser data and subsequently generate fast and more accurate digital terrain models. It is also proved as an appropriate approach in eliminating the unnecessary features surrounding the buildings and extracting the buildings. While the proposed approach was successfully tested on urban area to fulfill the objective of this research, it is recommended to further improve it in subsequent studies, including the forest application.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph. D.) - Asian Institute of Technology, 2003
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Remote sensing
General subdivision Equipment and supplies
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Scanning systems
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Wavelets (Mathematics)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Filters and filtration
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yokoyama, Ryuzo,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yamazaki, Fumio,
Relator term Co-Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Honda, Kiyoshi,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Apisit Eiumnoh,
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 Dissertation ;
Volume/sequential designation no. SR-03-03
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B07855">http://203.159.5.9/ait-thesis/detail.php?q=B07855</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
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Cataloger's initials, CIN (RLIN) 030806
First date, FD (RLIN) m
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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 20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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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 Archives 17/08/2026   AIT Diss. no.SR-03-03 30050120561252 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   AIT Diss. no.SR-03-03 30050120561229 17/08/2026 2 17/08/2026 20-AIT Publication 50.00
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Diss. no.SR-03-03 30050120236442 17/08/2026 1 17/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026   AIT Diss. no.SR-03-03 30050121017502 17/08/2026 1 17/08/2026 20-AIT Publication  
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