The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor

The paper presents preliminary results of legal and illegal settlement extraction in Pulau Gaya, Sabah using high resolution Quickbird and SPOT- 5 multi-spectral imageries using automated house detection technique. The technique developed is spatial-based using tree counting approach. From the resul...

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Main Authors: Zamzami, S.Z, Mansor, S.
Format: Article
Language:English
Published: Faculty of Architecture, Planning and Surveying 2012
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/8914/1/AJ_ARNIS%20ASMAT%20AJEBS%2012%20%282%29.pdf
http://ir.uitm.edu.my/id/eprint/8914/
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spelling my.uitm.ir.89142019-03-25T04:27:21Z http://ir.uitm.edu.my/id/eprint/8914/ The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor Zamzami, S.Z Mansor, S. Human settlements. Communities The paper presents preliminary results of legal and illegal settlement extraction in Pulau Gaya, Sabah using high resolution Quickbird and SPOT- 5 multi-spectral imageries using automated house detection technique. The technique developed is spatial-based using tree counting approach. From the results, edge to edge of the house features was found precisely separated and can be delineated between houses that less than 2m distance. Results show that the technique able to delineate legal houses from Quickbird image more than SPOT-5. Differs results would be due to different spatial and spectral resolution of images. Faculty of Architecture, Planning and Surveying 2012 Article NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/8914/1/AJ_ARNIS%20ASMAT%20AJEBS%2012%20%282%29.pdf Zamzami, S.Z and Mansor, S. (2012) The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor. Asian Journal Of Environment-Behaviour Studies, 3 (10). pp. 71-80. ISSN 1394-0384
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Human settlements. Communities
spellingShingle Human settlements. Communities
Zamzami, S.Z
Mansor, S.
The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor
description The paper presents preliminary results of legal and illegal settlement extraction in Pulau Gaya, Sabah using high resolution Quickbird and SPOT- 5 multi-spectral imageries using automated house detection technique. The technique developed is spatial-based using tree counting approach. From the results, edge to edge of the house features was found precisely separated and can be delineated between houses that less than 2m distance. Results show that the technique able to delineate legal houses from Quickbird image more than SPOT-5. Differs results would be due to different spatial and spectral resolution of images.
format Article
author Zamzami, S.Z
Mansor, S.
author_facet Zamzami, S.Z
Mansor, S.
author_sort Zamzami, S.Z
title The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor
title_short The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor
title_full The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor
title_fullStr The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor
title_full_unstemmed The use of multi-sensor for illegal human settlement detection / Arnis Asmat, S.Z. Zamzami and S. Mansor
title_sort use of multi-sensor for illegal human settlement detection / arnis asmat, s.z. zamzami and s. mansor
publisher Faculty of Architecture, Planning and Surveying
publishDate 2012
url http://ir.uitm.edu.my/id/eprint/8914/1/AJ_ARNIS%20ASMAT%20AJEBS%2012%20%282%29.pdf
http://ir.uitm.edu.my/id/eprint/8914/
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score 13.211869