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The paper addresses solution of the specific application task, namely, classification of individual trees to 5 conifer and deciduous species in mixed Baltic forest, based on processing of airborne hyperspectral and LiDAR data. Description of instruments and software used for data acquisition and preprocessing, image processing approach, obtained(More)
The paper is devoted to the applied problem of tree species classification from multispectral data obtained within aircraft overflight of the particular forest area. Theoretical background for solving the task is substantiated. Four versions of classifiers were considered and experimentally tested. Two of them, namely Bayes classifier and a classifier based(More)
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