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Article: Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River

TitlePrincipal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River
Authors
Issue Date1998
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01431161.asp
Citation
International Journal Of Remote Sensing, 1998, v. 19 n. 8, p. 1501-1518 How to Cite?
AbstractThe Pearl River Delta is experiencing very fast urban growth in recent years which has caused rapid loss of the valuable agricultural land in this fertile region. There is a great need to monitor the rapid urban expansion using remote sensing for urban planning and management purposes. However, it has been well recognized that there is significant over-estimation of land use change in using multi-temporal images for change detection because of inadequate creation of classification signatures. This paper presents a principal component analysis of stacked multi-temporal images method to reduce such errors. The study demonstrates that this method can reduce errors in change detection using multitemporal images and provide a very useful way in monitoring rapid land use changes and urban expansion in the Pearl River Delta and other parts of the world. © 1998 Taylor & Francis Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/176290
ISSN
2015 Impact Factor: 1.64
2015 SCImago Journal Rankings: 0.751
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYeh, AGOen_US
dc.date.accessioned2012-11-26T09:08:14Z-
dc.date.available2012-11-26T09:08:14Z-
dc.date.issued1998en_US
dc.identifier.citationInternational Journal Of Remote Sensing, 1998, v. 19 n. 8, p. 1501-1518en_US
dc.identifier.issn0143-1161en_US
dc.identifier.urihttp://hdl.handle.net/10722/176290-
dc.description.abstractThe Pearl River Delta is experiencing very fast urban growth in recent years which has caused rapid loss of the valuable agricultural land in this fertile region. There is a great need to monitor the rapid urban expansion using remote sensing for urban planning and management purposes. However, it has been well recognized that there is significant over-estimation of land use change in using multi-temporal images for change detection because of inadequate creation of classification signatures. This paper presents a principal component analysis of stacked multi-temporal images method to reduce such errors. The study demonstrates that this method can reduce errors in change detection using multitemporal images and provide a very useful way in monitoring rapid land use changes and urban expansion in the Pearl River Delta and other parts of the world. © 1998 Taylor & Francis Ltd.en_US
dc.languageengen_US
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01431161.aspen_US
dc.relation.ispartofInternational Journal of Remote Sensingen_US
dc.titlePrincipal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl Riveren_US
dc.typeArticleen_US
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hken_US
dc.identifier.authorityYeh, AGO=rp01033en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/014311698215315-
dc.identifier.scopuseid_2-s2.0-3643128071en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-3643128071&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume19en_US
dc.identifier.issue8en_US
dc.identifier.spage1501en_US
dc.identifier.epage1518en_US
dc.identifier.isiWOS:000074435500004-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridYeh, AGO=7103069369en_US

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