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Conference Paper: Residential area extraction by integrating supervised/unsupervised/ contextual/object-based methods with moderate resolution remotely sensed data

TitleResidential area extraction by integrating supervised/unsupervised/ contextual/object-based methods with moderate resolution remotely sensed data
Authors
Li, CongcongWang, LeiGong, PengWang, JieYing, Qing
Issue Date2011
Citation
2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings, 2011, p. 173-176 How to Cite?
DOI: http://dx.doi.org/10.1109/JURSE.2011.5764747
AbstractChina is implementing a global land cover mapping project with 30 m resolution data around year 2000 and 2010. Mapping residential areas is an important component in this effort. In this paper, we present a new method for settlement area mapping. It integrates supervised method, unsupervised method, frequency based contextual classification method, and object based method. We test our method on three TM images. The results show that the method can improve the accuracy and the extraction result is easy to be manually checked and corrected. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/296681

 

DC FieldValueLanguage
dc.contributor.authorLi, Congcong-
dc.contributor.authorWang, Lei-
dc.contributor.authorGong, Peng-
dc.contributor.authorWang, Jie-
dc.contributor.authorYing, Qing-
dc.date.accessioned2021-02-25T15:16:26Z-
dc.date.available2021-02-25T15:16:26Z-
dc.date.issued2011-
dc.identifier.citation2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings, 2011, p. 173-176-
dc.identifier.urihttp://hdl.handle.net/10722/296681-
dc.description.abstractChina is implementing a global land cover mapping project with 30 m resolution data around year 2000 and 2010. Mapping residential areas is an important component in this effort. In this paper, we present a new method for settlement area mapping. It integrates supervised method, unsupervised method, frequency based contextual classification method, and object based method. We test our method on three TM images. The results show that the method can improve the accuracy and the extraction result is easy to be manually checked and corrected. © 2011 IEEE.-
dc.languageeng-
dc.relation.ispartof2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings-
dc.titleResidential area extraction by integrating supervised/unsupervised/ contextual/object-based methods with moderate resolution remotely sensed data-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/JURSE.2011.5764747-
dc.identifier.scopuseid_2-s2.0-79957629257-
dc.identifier.spage173-
dc.identifier.epage176-

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