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Sequential land cover classification
Dissertation (MEng)--University of Pretoria, 2011.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613678709243904 |
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| access_status_str | Open Access |
| author2 | Olivier, Jan Corne |
| author_browse | Olivier, Jan Corne |
| author_facet | Olivier, Jan Corne |
| collection | Thesis |
| dc_rights_str_mv | © 2011 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng)--University of Pretoria, 2011. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/27051 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:39:58.102Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/27051 Sequential land cover classification Olivier, Jan Corne Van Zyl, A.J. etienne.ackermann@gmail.com Ackermann, Etienne Rudolph Land cover classification Sequential analysis Sequential detection Modis Remote sensing Multispectral UCTD Dissertation (MEng)--University of Pretoria, 2011. Land cover classification using remotely sensed data is a critical first step in large-scale environmental monitoring, resource management and regional planning. The classification task is made difficult by severe atmospheric scattering and absorption, seasonal variation, spatial dependence, complex surface dynamics and geometries, and large intra-class variability. Most of the recent research effort in land cover classification has gone into the development of increasingly robust and accurate (and also increasingly complex) classifiers by constructing–often in an ad hoc manner–multispectral, multitemporal, multisource classifiers using modern machine learning techniques such as artificial neural networks, fuzzy-sets, and expert systems. However, the focus has always been (almost exclusively) on increasing the classification accuracy of newly developed classifiers. We would of course like to perform land cover classification (i) as accurately as possible, but also (ii) as quickly as possible. Unfortunately there exists a tradeoff between these two requirements, since the faster we must make a decision, the lower we expect our classification accuracy to be, and conversely, a higher classification accuracy typically requires that we observe more samples (i.e., we must wait longer for a decision). Sequential analysis provides an attractive (indeed an optimal) solution to handling this tradeoff between the classification accuracy and the detection delay–and it is the aim of this study to apply sequential analysis to the land cover classification task. Furthermore, this study deals exclusively with the binary classification of coarse resolution MODIS time series data in the Gauteng region in South Africa, and more specifically, the task of discriminating between residential areas and vegetation is considered. Electrical, Electronic and Computer Engineering unrestricted 2013-09-07T10:02:11Z 2011-09-21 2013-09-07T10:02:11Z 2011-09-09 2011-09-21 2011-08-05 Dissertation Ackermann, ER 2011, Sequential land cover classification, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27051 > C11/9/131/ag http://hdl.handle.net/2263/27051 http://upetd.up.ac.za/thesis/available/etd-08052011-094814/ © 2011 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Land cover classification Sequential analysis Sequential detection Modis Remote sensing Multispectral UCTD Sequential land cover classification |
| title | Sequential land cover classification |
| title_full | Sequential land cover classification |
| title_fullStr | Sequential land cover classification |
| title_full_unstemmed | Sequential land cover classification |
| title_short | Sequential land cover classification |
| title_sort | sequential land cover classification |
| topic | Land cover classification Sequential analysis Sequential detection Modis Remote sensing Multispectral UCTD |
| url | http://hdl.handle.net/2263/27051 http://upetd.up.ac.za/thesis/available/etd-08052011-094814/ |