A coefficient of agreement as a measure of thematic classification accuracy.
Photogrammetric Engineering and Remote Sensing
By: G.H. Rosenfield and K. Fitzpatrick-Lins
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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
| 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 |
| Google Analytic Metrics | Metrics page |