A generalized confusion matrix for assessing area estimates from remote sensing imagery

Lewis, H.G. and Brown, M. (2001) A generalized confusion matrix for assessing area estimates from remote sensing imagery. International Journal of Remote Sensing, 22, (16), 3223-3235. (doi:10.1080/01431160152558332).


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The formulation of a generalized area-based confusion matrix for exploring the accuracy of area estimates is presented. The generalized confusion matrix is appropriate for both traditional classification algorithms and sub-pixel area estimation models. An error matrix, derived from the generalized confusion matrix, allows the accuracy of maps generated using area estimation models to be assessed quantitatively and compared to the accuracies obtained from traditional classification techniques. The application of this approach is demonstrated for an area estimation model applied to Landsat data of an urban area of the United Kingdom.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1080/01431160152558332
ISSNs: 0143-1161 (print)
Related URLs:
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
T Technology
Divisions : University Structure - Pre August 2011 > School of Engineering Sciences
ePrint ID: 21972
Accepted Date and Publication Date:
Date Deposited: 16 Mar 2006
Last Modified: 31 Mar 2016 11:40
URI: http://eprints.soton.ac.uk/id/eprint/21972

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