Utilization of polarization SAR Data for mapping coastal zone vegetation

Coastal vegetation is one of the important natural ecosystems that act as protection from sea wave erosion phenomena and supply oxygen to the surrounding organisms. POLSAR data with multi-band and multi-polarization is selected for these studies which are acquired on September 19, 2000 for coastal v...

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Main Authors: Marghany, Maged, Zabidi, Noradilawati, Wan Kadir, Wan Hazli, Hashim, Mazlan
Format: Article
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/525/
http://eprints.utm.my/525/1/RS-11.pdf
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author Marghany, Maged
Zabidi, Noradilawati
Wan Kadir, Wan Hazli
Hashim, Mazlan
author_facet Marghany, Maged
Zabidi, Noradilawati
Wan Kadir, Wan Hazli
Hashim, Mazlan
author_sort Marghany, Maged
building UTeM Institutional Repository
collection Online Access
description Coastal vegetation is one of the important natural ecosystems that act as protection from sea wave erosion phenomena and supply oxygen to the surrounding organisms. POLSAR data with multi-band and multi-polarization is selected for these studies which are acquired on September 19, 2000 for coastal vegetation mapping. Two methods are performed to CVV, LHH and LHV bands: polarization signature analysis and comparison of classification between two clustering techniques (Fuzzy-k-mean and ISODATA). The result shows that L band with HV polarization can distinguish coastal vegetation better than CVV. Furthermore, classification results of LHH and LHV shows that the Fuzzy-k-mean clustering is provided accuracy of 76% and also with kappa statistic of 70%.
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spelling utm-5252017-10-16T00:51:13Z http://eprints.utm.my/525/ Utilization of polarization SAR Data for mapping coastal zone vegetation Marghany, Maged Zabidi, Noradilawati Wan Kadir, Wan Hazli Hashim, Mazlan U Military Science (General) GC Oceanography Coastal vegetation is one of the important natural ecosystems that act as protection from sea wave erosion phenomena and supply oxygen to the surrounding organisms. POLSAR data with multi-band and multi-polarization is selected for these studies which are acquired on September 19, 2000 for coastal vegetation mapping. Two methods are performed to CVV, LHH and LHV bands: polarization signature analysis and comparison of classification between two clustering techniques (Fuzzy-k-mean and ISODATA). The result shows that L band with HV polarization can distinguish coastal vegetation better than CVV. Furthermore, classification results of LHH and LHV shows that the Fuzzy-k-mean clustering is provided accuracy of 76% and also with kappa statistic of 70%. 2006-11 Article PeerReviewed application/pdf en http://eprints.utm.my/525/1/RS-11.pdf Marghany, Maged and Zabidi, Noradilawati and Wan Kadir, Wan Hazli and Hashim, Mazlan (2006) Utilization of polarization SAR Data for mapping coastal zone vegetation. International Conference on Space & Geo-Informatics 2006 .
spellingShingle U Military Science (General)
GC Oceanography
Marghany, Maged
Zabidi, Noradilawati
Wan Kadir, Wan Hazli
Hashim, Mazlan
Utilization of polarization SAR Data for mapping coastal zone vegetation
title Utilization of polarization SAR Data for mapping coastal zone vegetation
title_full Utilization of polarization SAR Data for mapping coastal zone vegetation
title_fullStr Utilization of polarization SAR Data for mapping coastal zone vegetation
title_full_unstemmed Utilization of polarization SAR Data for mapping coastal zone vegetation
title_short Utilization of polarization SAR Data for mapping coastal zone vegetation
title_sort utilization of polarization sar data for mapping coastal zone vegetation
topic U Military Science (General)
GC Oceanography
url http://eprints.utm.my/525/
http://eprints.utm.my/525/1/RS-11.pdf