File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data

TitleUrban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data
Authors
Issue Date2002
Citation
International Journal of Remote Sensing, 2002, v. 23, n. 15, p. 3057-3078 How to Cite?
AbstractIn this article, Landsat TM images acquired during the same season from both 1984 and 1997 were analysed for urban built-up land change detection in Beijing, China, where great changes have taken place during the recent decades. To reduce the spectral confusion between urban 'built-up' and rural 'non built-up' land cover categories, we propose a new structural method based on road density combined with spectral bands for change detection. The road density represents one type of structural information while the multiple Landsat TM bands represent spectral information. Road density maps for both dates were produced using a gradient direction profile analysis (GDPA) algorithm and then integrated with spectral bands. Results from the spectral-structural post-classification comparison (SSPCC) and spectral-structural image differencing (SSID) methods were evaluated and compared with spectral-only change detection methods. The proposed SSPCC method greatly reduced spectral confusion and increased the accuracy of land cover classification compared with spectral classification, which in turn improved the change detection results. This article also shows that the SSID change detection result complemented spectral band differencing by detecting areas with greater structural changes, some of which were missed, by spectral band differencing.
Persistent Identifierhttp://hdl.handle.net/10722/296529
ISSN
2020 Impact Factor: 3.151
2020 SCImago Journal Rankings: 0.918
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Q.-
dc.contributor.authorWang, J.-
dc.contributor.authorPeng, X.-
dc.contributor.authorGong, P.-
dc.contributor.authorShi, P.-
dc.date.accessioned2021-02-25T15:16:06Z-
dc.date.available2021-02-25T15:16:06Z-
dc.date.issued2002-
dc.identifier.citationInternational Journal of Remote Sensing, 2002, v. 23, n. 15, p. 3057-3078-
dc.identifier.issn0143-1161-
dc.identifier.urihttp://hdl.handle.net/10722/296529-
dc.description.abstractIn this article, Landsat TM images acquired during the same season from both 1984 and 1997 were analysed for urban built-up land change detection in Beijing, China, where great changes have taken place during the recent decades. To reduce the spectral confusion between urban 'built-up' and rural 'non built-up' land cover categories, we propose a new structural method based on road density combined with spectral bands for change detection. The road density represents one type of structural information while the multiple Landsat TM bands represent spectral information. Road density maps for both dates were produced using a gradient direction profile analysis (GDPA) algorithm and then integrated with spectral bands. Results from the spectral-structural post-classification comparison (SSPCC) and spectral-structural image differencing (SSID) methods were evaluated and compared with spectral-only change detection methods. The proposed SSPCC method greatly reduced spectral confusion and increased the accuracy of land cover classification compared with spectral classification, which in turn improved the change detection results. This article also shows that the SSID change detection result complemented spectral band differencing by detecting areas with greater structural changes, some of which were missed, by spectral band differencing.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.titleUrban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/01431160110104728-
dc.identifier.scopuseid_2-s2.0-0036326141-
dc.identifier.volume23-
dc.identifier.issue15-
dc.identifier.spage3057-
dc.identifier.epage3078-
dc.identifier.isiWOS:000177059800009-
dc.identifier.issnl0143-1161-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats