| 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 |
| Genre: | Article |
| ProdID: | 70014664 |
| Citation Author: | Rosenfield, G. H. |
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| Citation End Page: | 686 |
| Citation Issue: | 5 |
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| Citation Language: | English |
| Citation Larger Work Title: | Photogrammetric Engineering and Remote Sensing |
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| Citation Number Of Pages: | 6 |
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| Citation Search Results Text: | Analysis of thematic map classification error matrices.; 1986; Article; Journal; Photogrammetric Engineering & Remote Sensing; Rosenfield, G. H. |
| Citation Start Page: | 681 |
| Citation Volume: | 52 |
| Citation Year: | 1986 |
| Type: | citation/reference |
| Text: | Analysis of thematic map classification error matrices.; 1986; Article; Journal; Photogrammetric Engineering & Remote Sensing; Rosenfield, G. H. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Wed, 1 Jan 1986 00:00 -0600 |
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