Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning

Publikation: Bidrag til tidsskriftKonferenceartikelForskning

Standard

Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning. / Moller-Jensen, Lasse.

I: Proceedings of the International Symposium on Remote Sensing of Environment, Bind 2, 01.12.1990, s. 807-813.

Publikation: Bidrag til tidsskriftKonferenceartikelForskning

Harvard

Moller-Jensen, L 1990, 'Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning', Proceedings of the International Symposium on Remote Sensing of Environment, bind 2, s. 807-813.

APA

Moller-Jensen, L. (1990). Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning. Proceedings of the International Symposium on Remote Sensing of Environment, 2, 807-813.

Vancouver

Moller-Jensen L. Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning. Proceedings of the International Symposium on Remote Sensing of Environment. 1990 dec. 1;2:807-813.

Author

Moller-Jensen, Lasse. / Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning. I: Proceedings of the International Symposium on Remote Sensing of Environment. 1990 ; Bind 2. s. 807-813.

Bibtex

@inproceedings{a32fe0c9350848adb33fcbe37850128f,
title = "Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning",
abstract = "A large rapidly growing city like Bangkok requires effective means of extracting spatial information in order to develop a realistic understanding of the current state of the land and housing markets. This study evaluates the potentials of using high resolution satellite images as a source of information for land use mapping within the context of urban planning. Standard data acquisition methods, i.e. use of aerial photographs, are compared to satellite image analysis which is appropriate for mapping the overall spatial development of the urban areas. The digital representation of data permits fast computation of various statistics, including growth of different land use classes, degree of urbanization etc. A prototype for an automatic expert system-based classification method using texture and context information is described. The method is used to produce an urban land use map for a test area covering the central and western parts of Bangkok.",
author = "Lasse Moller-Jensen",
year = "1990",
month = dec,
day = "1",
language = "English",
volume = "2",
pages = "807--813",
journal = "Proceedings of the International Symposium on Remote Sensing of Environment",
issn = "0275-5505",
note = "Proceedings of the 23rd International Symposium on Remote Sensing of Environment ; Conference date: 18-04-1990 Through 25-04-1990",

}

RIS

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T1 - Knowledge-based classification of Landsat-TM satellite images for mapping land use in Bangkok within the context of urban planning

AU - Moller-Jensen, Lasse

PY - 1990/12/1

Y1 - 1990/12/1

N2 - A large rapidly growing city like Bangkok requires effective means of extracting spatial information in order to develop a realistic understanding of the current state of the land and housing markets. This study evaluates the potentials of using high resolution satellite images as a source of information for land use mapping within the context of urban planning. Standard data acquisition methods, i.e. use of aerial photographs, are compared to satellite image analysis which is appropriate for mapping the overall spatial development of the urban areas. The digital representation of data permits fast computation of various statistics, including growth of different land use classes, degree of urbanization etc. A prototype for an automatic expert system-based classification method using texture and context information is described. The method is used to produce an urban land use map for a test area covering the central and western parts of Bangkok.

AB - A large rapidly growing city like Bangkok requires effective means of extracting spatial information in order to develop a realistic understanding of the current state of the land and housing markets. This study evaluates the potentials of using high resolution satellite images as a source of information for land use mapping within the context of urban planning. Standard data acquisition methods, i.e. use of aerial photographs, are compared to satellite image analysis which is appropriate for mapping the overall spatial development of the urban areas. The digital representation of data permits fast computation of various statistics, including growth of different land use classes, degree of urbanization etc. A prototype for an automatic expert system-based classification method using texture and context information is described. The method is used to produce an urban land use map for a test area covering the central and western parts of Bangkok.

UR - http://www.scopus.com/inward/record.url?scp=0025549126&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0025549126

VL - 2

SP - 807

EP - 813

JO - Proceedings of the International Symposium on Remote Sensing of Environment

JF - Proceedings of the International Symposium on Remote Sensing of Environment

SN - 0275-5505

T2 - Proceedings of the 23rd International Symposium on Remote Sensing of Environment

Y2 - 18 April 1990 through 25 April 1990

ER -

ID: 202033739