Harshness in image classification accuracy assessment

Foody, Giles M. (2008) Harshness in image classification accuracy assessment. International Journal of Remote Sensing, 29 (11). pp. 3137-3158. ISSN 0143-1161

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Thematic mapping via a classification analysis is one of the most common applications of remote sensing. The accuracy of image classifications is, however, often viewed negatively. Here, it is suggested that the approach to the evaluation of image classification accuracy typically adopted in remote sensing may often be unfair, commonly being rather harsh and mis-leading. It is stressed that the widely used target accuracy of 85% can be inappropriate and that the approach to accuracy assessment adopted commonly in remote sensing is pessimistically biased. Moreover, the maps produced by other communities, which are often used unquestioningly, may have a low accuracy if evaluated from the standard perspective adopted in remote sensing. A greater awareness of the problems encountered in accuracy assessment may help ensure that perceptions of classification accuracy are realistic and reduce unfair criticism of thematic maps derived from remote sensing.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/1015778
Additional Information: This is an Author's Accepted Manuscript of an article published in International Journal of Remote Sensing: Foody, G.M., Harshness in image classification accuracy assessment, International Journal of Remote Sensing, 29(11), 2008, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/01431160701442120
Schools/Departments: University of Nottingham, UK > Faculty of Social Sciences > School of Geography
Identification Number: https://doi.org/10.1080/01431160701442120
Depositing User: Foody, Prof Giles
Date Deposited: 14 Jun 2013 14:55
Last Modified: 04 May 2020 20:27
URI: https://eprints.nottingham.ac.uk/id/eprint/1995

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