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A method for multi-dimensional image segmentation

The main objective of this paper is to assess the crop classification accuracies using the merged TM-MSS data compared to their original data over a selected test site. The study also evaluates the separability of spectral signatures of the studied crops in the selected test site.

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Bibliographic Details
Main Author: Hashim, Mazlan
Format: Conference or Workshop Item
Published: 1988
Subjects:
S Agriculture (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/2154/
http://md1.csa.com/partners/viewrecord.php?requester=gs&collection=TRD&recid=A8941153AH&q=mazlan+hashim&uid=787164289&setcookie=yes
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id my.utm.2154
record_format eprints
spelling my.utm.21542017-08-27T03:55:15Z http://eprints.utm.my/id/eprint/2154/ A method for multi-dimensional image segmentation Hashim, Mazlan S Agriculture (General) TA Engineering (General). Civil engineering (General) The main objective of this paper is to assess the crop classification accuracies using the merged TM-MSS data compared to their original data over a selected test site. The study also evaluates the separability of spectral signatures of the studied crops in the selected test site. 1988-03-13 Conference or Workshop Item PeerReviewed Hashim, Mazlan (1988) A method for multi-dimensional image segmentation. In: 1988 ACSM-ASPRS Annual Convention, , 13-18March 1988, Saint Louis, MO; UNITED STATES. http://md1.csa.com/partners/viewrecord.php?requester=gs&collection=TRD&recid=A8941153AH&q=mazlan+hashim&uid=787164289&setcookie=yes
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic S Agriculture (General)
TA Engineering (General). Civil engineering (General)
spellingShingle S Agriculture (General)
TA Engineering (General). Civil engineering (General)
Hashim, Mazlan
A method for multi-dimensional image segmentation
description The main objective of this paper is to assess the crop classification accuracies using the merged TM-MSS data compared to their original data over a selected test site. The study also evaluates the separability of spectral signatures of the studied crops in the selected test site.
format Conference or Workshop Item
author Hashim, Mazlan
author_facet Hashim, Mazlan
author_sort Hashim, Mazlan
title A method for multi-dimensional image segmentation
title_short A method for multi-dimensional image segmentation
title_full A method for multi-dimensional image segmentation
title_fullStr A method for multi-dimensional image segmentation
title_full_unstemmed A method for multi-dimensional image segmentation
title_sort method for multi-dimensional image segmentation
publishDate 1988
url http://eprints.utm.my/id/eprint/2154/
http://md1.csa.com/partners/viewrecord.php?requester=gs&collection=TRD&recid=A8941153AH&q=mazlan+hashim&uid=787164289&setcookie=yes
_version_ 1643643514913816576
score 13.160551

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