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A coefficient of agreement as a measure of thematic classification accuracy.

Photogrammetric Engineering and Remote Sensing
By:  and 

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Abstract

The classification error matrix typically contains tabulated results of accuracy evaluation for a thematic classification, such as a land-use and land-cover map. Diagonal elements of the matrix represent counts correct. The usual designation of classification accuracy has been total percent correct. Nondiagonal elements of the matrix have usually been neglected. A coefficient of agreement is determined for the interpreted map as a whole, and individually for each interpreted category. These coefficients utilize all cell values in the matrix.-from Authors

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title A coefficient of agreement as a measure of thematic classification accuracy.
Series title Photogrammetric Engineering and Remote Sensing
Volume 52
Issue 2
Year Published 1986
Language English
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title Photogrammetric Engineering and Remote Sensing
First page 223
Last page 227