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Automatic extraction and delineation of single trees from remote sensing data

Automatic extraction and delineation of single trees from remote sensing data,10.1007/s00138-006-0064-9,Machine Vision and Applications,Bernd-michael

Automatic extraction and delineation of single trees from remote sensing data   (Citations: 7)
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In this paper, we present a novel approach for the automatic extraction of trees and the delineation of the tree crowns from remote sensing data, and report andevaluatetheresultsobtainedwithdifferenttestdata sets. The approach is scale-invariant and is based on co-registered colour-infrared aerial imagery and a dig- ital surface model (DSM). Our primary assumption is that the coarse structure of the crown, if represented at the appropriate level in scale-space, can be approxi- mated with the help of an ellipsoid. The fine structure of the crown is suppressed at this scale level and can be ignored. Our approach is based on a tree model with three geometric parameters (size, circularity and convexityofthetreecrown)andoneradiometricparam- eter for the tree vitality. The processing strategy com- prises three steps. First, we segment a wide range of scale levels of a pre-processed version of the DSM. In the second step, we select the best hypothesis for a crown from the overlapping segments of all levels based on the tree model. The selection is achieved with the help of fuzzy functions for the tree model parameters. Finally, the crown boundary is refined using active con- tourmodels(snakes).Theapproachwastestedwithfour
Journal: Machine Vision and Applications - MVA , vol. 18, no. 5, pp. 317-330, 2007
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