Comparing the Accuracy of Multi-Source Data Integration for Two Supervised Image Classification Methods: Maximum Likelihood and Artificial Neural Network

Hillary Tribby; Daniel Unger

Comparing the Accuracy of Multi-Source Data Integration for Two Supervised Image Classification Methods: Maximum Likelihood and Artificial Neural Network

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Producción científica: Other contribution

Idioma original	Undefined/Unknown
Estado	Published - ene 1 2006

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Nombre	Faculty Presentations

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Comparing the Accuracy of Multi-Source Data Integration for Two S

http://scholarworks.sfasu.edu/spatialsci_facultypres/24

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@misc{09da991e65784790849d934948a93762,

title = "Comparing the Accuracy of Multi-Source Data Integration for Two Supervised Image Classification Methods: Maximum Likelihood and Artificial Neural Network",

author = "Hillary Tribby and Daniel Unger",

year = "2006",

month = jan,

day = "1",

language = "Undefined/Unknown",

series = "Faculty Presentations",

type = "Other",

}