New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms

The inherent spatial information within a satellite remotely sensed data has shown a significant contribution to the classification of an image. In this, paper, two new textural approaches, namely the Rolling Ball Transform (RBT) and Ripping membrane (RM), were examined and analysed for image classi...

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Main Author: Hashim, Mazlan
Format: Article
Language:English
Published: Asian Association on Remote Sesning 1996
Subjects:
Online Access:http://eprints.utm.my/2159/2/ACRS96_1.pdf
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author Hashim, Mazlan
author_facet Hashim, Mazlan
author_sort Hashim, Mazlan
collection ePrints
description The inherent spatial information within a satellite remotely sensed data has shown a significant contribution to the classification of an image. In this, paper, two new textural approaches, namely the Rolling Ball Transform (RBT) and Ripping membrane (RM), were examined and analysed for image classification. the classification results are presented in the following models: (I) textural information alone, (ii) combination of best textural information and spectral data, and (iii) spectral data alone. Comparison of classification results obtained from the two new textural methods with three commonly textural extraction techniques : grey level co-occurrence, local statistical transform and convolution filtering masks were also carried out. Result of this study shows that the new textural extraction methods as one of the possible methods to increase the classification accuracies of the land use classes. The best results were obtained when textural information was combined with raw data. The new textural approaches- the RBT and RM both showed the most stable textures. RM textures from range 20 was the best overall textural extraction method.
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spelling utm.eprints-21592010-06-01T03:01:21Z http://eprints.utm.my/2159/ New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms Hashim, Mazlan T Technology (General) Q Science (General) The inherent spatial information within a satellite remotely sensed data has shown a significant contribution to the classification of an image. In this, paper, two new textural approaches, namely the Rolling Ball Transform (RBT) and Ripping membrane (RM), were examined and analysed for image classification. the classification results are presented in the following models: (I) textural information alone, (ii) combination of best textural information and spectral data, and (iii) spectral data alone. Comparison of classification results obtained from the two new textural methods with three commonly textural extraction techniques : grey level co-occurrence, local statistical transform and convolution filtering masks were also carried out. Result of this study shows that the new textural extraction methods as one of the possible methods to increase the classification accuracies of the land use classes. The best results were obtained when textural information was combined with raw data. The new textural approaches- the RBT and RM both showed the most stable textures. RM textures from range 20 was the best overall textural extraction method. Asian Association on Remote Sesning 1996-11 Article NonPeerReviewed application/pdf en http://eprints.utm.my/2159/2/ACRS96_1.pdf Hashim, Mazlan (1996) New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms. Proceedings of Asian Conference on Remote Sensing 1996 .
spellingShingle T Technology (General)
Q Science (General)
Hashim, Mazlan
New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms
title New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms
title_full New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms
title_fullStr New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms
title_full_unstemmed New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms
title_short New Textural Extraction Method Using Rolling Ball and Riping Membrane Transforms
title_sort new textural extraction method using rolling ball and riping membrane transforms
topic T Technology (General)
Q Science (General)
url http://eprints.utm.my/2159/2/ACRS96_1.pdf
work_keys_str_mv AT hashimmazlan newtexturalextractionmethodusingrollingballandripingmembranetransforms