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

Photogrammetric Engineering and Remote Sensing

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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
Number of Pages:
5