Estimation of Tree Species Proportions of Forest Compartments Using Ranging Scatterometer
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چکیده
Tree species proportions of forest stands were estimated using ranging scatterometer called HUTSCAT. Employed estimation method was multilayer perceptron neural network with error backpropagation training algorithm. Different methods based on intensity and/or shape of measured profiles were tested. The best classification accuracy of the main tree species was about 88% and the mean error of estimation for tree species proportions was
منابع مشابه
Estimation of Tree Species Proportions Using Ranging Scatterometer
Tree species proportions of forest stands were estimated using ranging scatterometer called HUTSCAT. Employed estimation method was multilayer perceptron neural network with error backpropagation training algorithm. Two methods for feature extraction were tested; other based on intensity and shape of measured profiles, other only shape. Different neural network configurations were tried and it ...
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تاریخ انتشار 2007