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

January 1, 1986

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

Publication Year 1986
Title A coefficient of agreement as a measure of thematic classification accuracy.
Authors G.H. Rosenfield, K. Fitzpatrick-Lins
Publication Type Article
Publication Subtype Journal Article
Series Title Photogrammetric Engineering and Remote Sensing
Index ID 70014667
Record Source USGS Publications Warehouse