A simulated Linear Mixture Model to Improve Classification Accuracy of Satellite Data Utilizing Degradation of Atmospheric Effect
Researchers in remote sensing have attempted to increase the accuracy of land cover information extracted from remotely sensed imagery. Factors that influence the supervised and unsupervised classification accuracy are the presence of atmospheric effect and mixed pixel information. A linear mixture...
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2005-02-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
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| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/P642150.pdf
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