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2-D delineation of individual citrus trees from UAV-based dense photogrammetric surface models

查看全文 作　　者：Ali Ozgun [1]Ok;Asli Ozdarici-[1]Ok 高影响力作者 机构地区：[1]Department of Geodesy and Photogrammetry Engineering,Nevsehir H.B.V.University,Nevsehir,Turkey高影响力机构 出　　处：《International Journal of Digital Earth》索引2018年第11卷第6期,共26页高影响力期刊 基　　金：This work was supported by the Scientific and Technical Research Council of Turkey(TUBITAK)[grant number 114Y671]. 摘　　要：One of the challenges of remote sensing and computer vision lies in the three-dimensional(3-D)reconstruction of individual trees by using automated methods through very high-resolution(VHR)data sets.However,a successful and complete 3-D reconstruction relies on precise delineation of the trees in two dimensions.In this paper,we present an original approach to detect and delineate citrus trees using unmanned aerial vehicles based on photogrammetric digital surface models(DSMs).The symmetry of the citrus trees in a DSM is handled by an orientationbased radial symmetry transform which is computed in a unique way.Next,we propose an efficient strategy to accurately build influence regions of each tree,and then we delineate individual citrus trees through active contours by taking into account the influence region of each canopy.We also present two efficient strategies to filter out erroneously detected canopy regions without having any height thresholds.Experiments are carried out on eight test DSMs composed of different types of citrus orchards with varying densities and canopy sizes.Extensive comparisons to the state-of-the-art approaches reveal that our proposed approach provides superior detection and delineation performances through supporting a nice balance between precision and recall measures. 关 键 词：Orientation-based radial symmetry active contour citrus trees UAV digital surface model
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