Spectral signature generalization and expansion can improve the accuracy of satellite image classification
Conventional supervised classification of satellite images uses a single multi-band image and coincident ground observations to construct spectral signatures of land cover classes. We compared this approach with three alternatives that derive signatures from multiple images and time periods: (1) sig...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Public Library of Science
2010
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/166056 |
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