Multispectral Image Analysis Using Random Forest
نویسندگان
چکیده
منابع مشابه
Multispectral Image Analysis Using Random Forest
Classical methods for classification of pixels in multispectral images include supervised classifiers such as the maximum-likelihood classifier, neural network classifiers, fuzzy neural networks, support vector machines, and decision trees. Recently, there has been an increase of interest in ensemble learning – a method that generates many classifiers and aggregates their results. Breiman propo...
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ژورنال
عنوان ژورنال: International Journal on Soft Computing
سال: 2015
ISSN: 2229-7103,2229-6735
DOI: 10.5121/ijsc.2015.6101