A coefficient of agreement as a measure of thematic classification accuracy.
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
Citation Information
Publication Year | 1986 |
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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 |