Fourier analysis of multitemporal vegetation index data.
نویسندگان
چکیده
منابع مشابه
A Gaussian adaptive resonance theory neural network classification algorithm applied to supervised land cover mapping using multitemporal vegetation index data
Neural network classifiers have been shown to provide supervised classification results that significantly improve on traditional classification algorithms such as the Bayesian (maximum likelihood [ML]) classifier. While the predominant neural network architecture has been the feedforward multilayer perceptron known as backpropagation, Adaptive resonance theory (ART) neural networks offer advan...
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ژورنال
عنوان ژورنال: Journal of the Japan society of photogrammetry and remote sensing
سال: 1992
ISSN: 0285-5844,1883-9061
DOI: 10.4287/jsprs.31.4_4