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- W1939868704 abstract "Tree species proportions of forest stands were estimated using a ranging scatterometer called HUTSCAT. The employed estimation method was a 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 0.26." @default.
- W1939868704 created "2016-06-24" @default.
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- W1939868704 date "2003-01-20" @default.
- W1939868704 modified "2023-09-24" @default.
- W1939868704 title "Estimation of tree species proportions of forest compartments using ranging scatterometer" @default.
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- W1939868704 doi "https://doi.org/10.1109/igarss.1999.774437" @default.
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