文献类型：会议论文

英文题名：The Extraction of Individual Tree-crown in Aerial Digital Camera Imagery

作者：Zhao, Feng[1] Zhang, Huaiqing[1] Li, Zengyuan[1] Pang, Yong[1]

第一作者：赵峰

通信作者：Zhao, F[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing, Peoples R China

会议论文集：5th International Conference on Fuzzy Systems and Knowledge Discovery

会议日期：OCT 18-20, 2008

会议地点：Jinan, PEOPLES R CHINA

语种：英文

外文关键词：Antennas - Classification (of information) - Computer circuits - Extraction - Fuzzy logic - Fuzzy systems - Image segmentation - Membership functions - Remote sensing

年份：2008

摘要：A high spatial resolution remote sensing image provides a huge amount of data about our earth surface in more details, and makes it possible to estimate forest and tree parameters directly from aerial image. In this research the segmentation algorithm of region-merging technique was used for the identification of the individual tree crown. Fuzzy logic membership function and nearest neighbor classifier were used for the extraction of tree canopy information. The crown canopy was extracted firstly based on the multi-scale segmentation, fuzzy logic classification, and objects merge based on the class. A segmentation of tree crown mode was conducted for the individual tree crown. To get satisfying outcome, morphological reconstruction based on fuzzy logic functions, such as the feature of the area threshold and relative border to, were used to eliminate some false polygons. The results from the image-derived and field measured free crown comparisons in this paper show that there was significant correlation, with the correlation coefficients varying from 0.69 to 0.82. Most of the free crowns were, underestimated because of the influence of shadow and crown overlap, And further research will concentrate on individual trees with little crown overlap and full rounded crowns.