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- W218666555 abstract "Scanned multispectral aerial photographs were used to estimate tree and stand variables by means of standard and novel digital image processing methods. Individual tree crown detection and delineation were realized by the brightest pixel technique, template matching, edge detection in gradient direction, pixel tracing and cost surface generation. Several algorithms were tested and implemented into a program “Kernel processor”. Automated classification of tree species was carried out in the Idrisi32 environment using traditional and soft classifiers. Bayclass soft classifier provided the most precise results. Described procedures enable to create special forests maps that can be used in alternative or simplified forest management plans at protected territories." @default.
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- W218666555 date "2003-01-01" @default.
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- W218666555 title "Digital classification of tree species and spatial structure of forest stands from remotely sensed data." @default.
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