| Abstract: | A principal component image enhancement has been effective in applying Landsat data to geologic mapping in a heavily forested area of E Virginia. The image enhancement procedure consists of a principal component transformation, a histogram normalization, and the inverse principal componnet transformation. The enhancement preserves the independence of the principal components, yet produces a more readily interpretable image than does a single principal component transformation. -from Authors |
| Genre: | Article |
| ProdID: | 70012022 |
| Citation Author: | Krohn, M. D.; Milton, N. M.; Segal, D.; Enland, A. |
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| Citation End Page: | 154 |
| Citation Issue: | 2 |
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| Citation Language: | English |
| Citation Larger Work Title: | Geophysical Research Letters |
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| Citation Number Of Pages: | 4 |
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| Citation Search Results Text: | Discrimination of a chestnut-oak forest unit for geologic mapping by means of a principal component enhancement of Landsat multispectral scanner data.; 1981; Article; Journal; Geophysical Research Letters; Krohn, M. D.; Milton, N. M.; Segal, D.; Enland, A. |
| Citation Start Page: | 151 |
| Citation Volume: | 8 |
| Citation Year: | 1981 |
| Type: | citation/reference |
| Text: | Discrimination of a chestnut-oak forest unit for geologic mapping by means of a principal component enhancement of Landsat multispectral scanner data.; 1981; Article; Journal; Geophysical Research Letters; Krohn, M. D.; Milton, N. M.; Segal, D.; Enland, A. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Thu, 1 Jan 1981 00:00 -0600 |
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