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Analysis of thematic map classification error matrices.

Photogrammetric Engineering and Remote Sensing

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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

Additional Publication Details

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