Image Classification On Ex-Mining Land Area Using Echo Classifier

The purpose of this study is to map the landcover ofa large and complex surface of an ex-mining land area using remote sensing technology. Remote sensing imagery has proven useful to generate landcover and it is timely, potentially less expensive than conventional ground methods. Study goals include...

Full description

Bibliographic Details
Main Author: Baharuddin, Salmah
Format: Thesis
Language:English
Published: 2003
Subjects:
Online Access:http://eprints.usm.my/63236/
Abstract Abstract here
_version_ 1854969872931356672
author Baharuddin, Salmah
author_facet Baharuddin, Salmah
author_sort Baharuddin, Salmah
description The purpose of this study is to map the landcover ofa large and complex surface of an ex-mining land area using remote sensing technology. Remote sensing imagery has proven useful to generate landcover and it is timely, potentially less expensive than conventional ground methods. Study goals included evaluation of various classification algorithms, deriving a landcover map of the ex-mining land using satellite image and collection of ground truth points in order to perform a more quantitative analysis and accuracy assessment of the methods used.
first_indexed 2025-12-24T00:14:04Z
format Thesis
id usm-63236
institution Universiti Sains Malaysia
language English
last_indexed 2025-12-24T00:14:04Z
publishDate 2003
record_format eprints
record_pdf Abstract
spelling usm-632362025-11-18T08:22:37Z http://eprints.usm.my/63236/ Image Classification On Ex-Mining Land Area Using Echo Classifier Baharuddin, Salmah T1-995 Technology(General) The purpose of this study is to map the landcover ofa large and complex surface of an ex-mining land area using remote sensing technology. Remote sensing imagery has proven useful to generate landcover and it is timely, potentially less expensive than conventional ground methods. Study goals included evaluation of various classification algorithms, deriving a landcover map of the ex-mining land using satellite image and collection of ground truth points in order to perform a more quantitative analysis and accuracy assessment of the methods used. 2003-10 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/63236/1/Pages%20from%20Salmah%20Baharuddin.pdf Baharuddin, Salmah (2003) Image Classification On Ex-Mining Land Area Using Echo Classifier. Masters thesis, Universiti Sains Malaysia.
spellingShingle T1-995 Technology(General)
Baharuddin, Salmah
Image Classification On Ex-Mining Land Area Using Echo Classifier
title Image Classification On Ex-Mining Land Area Using Echo Classifier
title_full Image Classification On Ex-Mining Land Area Using Echo Classifier
title_fullStr Image Classification On Ex-Mining Land Area Using Echo Classifier
title_full_unstemmed Image Classification On Ex-Mining Land Area Using Echo Classifier
title_short Image Classification On Ex-Mining Land Area Using Echo Classifier
title_sort image classification on ex mining land area using echo classifier
topic T1-995 Technology(General)
url http://eprints.usm.my/63236/
work_keys_str_mv AT baharuddinsalmah imageclassificationonexmininglandareausingechoclassifier