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Article: A graphical approach for the evaluation of land-cover classification procedures

TitleA graphical approach for the evaluation of land-cover classification procedures
Authors
Gong, PengHowarth, Philip J.
Issue Date1990
Citation
International Journal of Remote Sensing, 1990, v. 11, n. 5, p. 899-905 How to Cite?
DOI: http://dx.doi.org/10.1080/01431169008955063
AbstractA method for evaluating the effectiveness of different feature combinations and training strategies is described. Preliminarytests have been made using two groups of feature combinations derived from SPOT High Resolution Visible (HRV) data and two sets of training samples. The method is objective, and needs no ground confirmation or interaction from the image analyst. It is recommended as a surrogate for detailed accuracy assessment when attempting to find an optimum set of training pixelsor feature combinations for image classification. © 1990 Taylor and Francis Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/296494
ISSN
0143-1161
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.776
ISI Accession Number ID
WOS:A1990DK87900013

 

DC FieldValueLanguage
dc.contributor.authorGong, Peng-
dc.contributor.authorHowarth, Philip J.-
dc.date.accessioned2021-02-25T15:16:01Z-
dc.date.available2021-02-25T15:16:01Z-
dc.date.issued1990-
dc.identifier.citationInternational Journal of Remote Sensing, 1990, v. 11, n. 5, p. 899-905-
dc.identifier.issn0143-1161-
dc.identifier.urihttp://hdl.handle.net/10722/296494-
dc.description.abstractA method for evaluating the effectiveness of different feature combinations and training strategies is described. Preliminarytests have been made using two groups of feature combinations derived from SPOT High Resolution Visible (HRV) data and two sets of training samples. The method is objective, and needs no ground confirmation or interaction from the image analyst. It is recommended as a surrogate for detailed accuracy assessment when attempting to find an optimum set of training pixelsor feature combinations for image classification. © 1990 Taylor and Francis Ltd.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.titleA graphical approach for the evaluation of land-cover classification procedures-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/01431169008955063-
dc.identifier.scopuseid_2-s2.0-0025433771-
dc.identifier.volume11-
dc.identifier.issue5-
dc.identifier.spage899-
dc.identifier.epage905-
dc.identifier.eissn1366-5901-
dc.identifier.isiWOS:A1990DK87900013-
dc.identifier.issnl0143-1161-

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