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• W2509596959 abstract "Street trees interlaced with other objects in cluttered point clouds of urban scenes inhibit the automatic extraction of individual trees. This paper proposes a method for the automatic extraction of individual trees from mobile laser scanning data, according to the general constitution of trees. Two components of each individual tree – a trunk and a crown can be extracted by the dual growing method. This method consists of coarse classification, through which most of artifacts are removed; the automatic selection of appropriate seeds for individual trees, by which the common manual initial setting is avoided; a dual growing process that separates one tree from others by circumscribing a trunk in an adaptive growing radius and segmenting a crown in constrained growing regions; and a refining process that draws a singular trunk from the interlaced other objects. The method is verified by two datasets with over 98% completeness and over 96% correctness. The low mean absolute percentage errors in capturing the morphological parameters of individual trees indicate that this method can output individual trees with high precision." @default.
• W2509596959 created "2016-09-16" @default.
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• W2509596959 date "2016-10-01" @default.
• W2509596959 modified "2023-09-22" @default.
• W2509596959 title "A dual growing method for the automatic extraction of individual trees from mobile laser scanning data" @default.
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• W2509596959 doi "https://doi.org/10.1016/j.isprsjprs.2016.07.009" @default.
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