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Peer-Reviewed Articles - Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin - Classification results indicate that the decision-tree classifier based on linear spectral mixture analysis (DTC-LSMA) and the extraction and classification of homogeneous objects (ECHO) were more accurate than were the minimum-distance classifier (MDC) and the maximum-likelihood classifier (MLC).
Peer-Reviewed Articles - Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin - Classification results indicate that the decision-tree classifier based on linear spectral mixture analysis (DTC-LSMA) and the extraction and classification of homogeneous objects (ECHO) were more accurate than were the minimum-distance classifier (MDC) and the maximum-likelihood classifier (MLC).
Peer-Reviewed Articles - Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin - Classification results indicate that the decision-tree classifier based on linear spectral mixture analysis (DTC-LSMA) and the extraction and classification of homogeneous objects (ECHO) were more accurate than were the minimum-distance classifier (MDC) and the maximum-likelihood classifier (MLC).
Lu, Dengsheng (author) / Mausel, Paul / Batistella, Mateus / Moran, Emilio
2004
Article (Journal)
English
Particle classification in The Reflux Classifier
Tema Archive | 2001
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British Library Online Contents | 1996
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