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15 August 2007 Method of individual tree crown detection
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Crown projected area has been an important part for green cover ratio in urban green investigation. Current field-based assessment methodology provides the needed information, but is costly, subjective, time-consuming and therefore update frequency is low. Remote sensing techniques provide a potentially low-cost alternative to field-based assessment, but required the development of methods to easily and accurately extract the required information. In this paper, A semi-automated individual tree crown detection algorithm was developed which had two main steps: firstly, several spectral characteristic transect samples were fitted by high-order curve approximation method; secondly, each curve inflection point was found to connect to tree contour. Two different types of tree areas were selected to detect crown area, one was street tree area where few of tree crowns were overlain, its detection precision was 87.91%; the other was public green area where more tree crowns were overlain, its detection precision was a bit lower than the former, which was 82.24%.
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Yiqun Xiong and Jianping Wu "Method of individual tree crown detection", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521H (15 August 2007);

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