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Classification of the Gabon SAR Mosaic Using a Wavelet Based Rule ClassifierA method is developed for semi-automated classification of SAR images of the tropical forest. Information is extracted using the wavelet transform (WT). The transform allows for extraction of structural information in the image as a function of scale. In order to classify the SAR image, a Desicion Tree Classifier is used. The method of pruning is used to optimize classification rate versus tree size. The results give explicit insight on the type of information useful for a given class.
Document ID
20000057032
Acquisition Source
Jet Propulsion Laboratory
Document Type
Other
Authors
Simard, Marc
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
Saatchi, Sasan
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA United States)
DeGrandi, Gianfranco
(Joint Research Centre of the European Communities Ispra, Italy)
Date Acquired
September 7, 2013
Publication Date
January 1, 2000
Subject Category
Communications And Radar
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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