Analysis of thematic map classification error matrices.
Photogrammetric Engineering and Remote Sensing
By: G.H. Rosenfield
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Abstract
The classification error matrix expresses the counts of agreement and disagreement between the classified categories and their verification. Thematic mapping experiments compare variables such as multiple photointerpretation or scales of mapping, and produce one or more classification error matrices. This paper presents a tutorial to implement a typical problem of a remotely sensed data experiment for solution by the linear model method.-from Author
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Analysis of thematic map classification error matrices. |
| Series title | Photogrammetric Engineering and Remote Sensing |
| Volume | 52 |
| Issue | 5 |
| Year Published | 1986 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Photogrammetric Engineering and Remote Sensing |
| First page | 681 |
| Last page | 686 |
| Google Analytic Metrics | Metrics page |