文献类型：会议论文

英文题名：Automated Extracting Tree Crown from Quickbird Stand Image

作者：Deng, Guang[1] Li, Zengyuan[1] Wu, Honggan[1] Zhang, Xu[1]

第一作者：邓广

通信作者：Deng, G[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

会议论文集：4th IFIP TC 12 Conference on Computer and Computing Technologies in Agriculture

会议日期：OCT 22-25, 2010

会议地点：China Agr Univ, EU China Ctr Informat & Commun Technol, Nanchang, PEOPLES R CHINA

主办单位：China Agr Univ, EU China Ctr Informat & Commun Technol

语种：英文

外文关键词：Tree crown recognition algorithm; Seeded based region growth segmentation; Object based information extracting

年份：2011

摘要：Artificial intelligence technologies with spatial information technologies play more and more roles in precision agriculture and precision forestry. This paper puts up a new artificial intelligence algorithm which based on seeded based region growth method to extract tree crown on Quickbird forest stand image. It is a kind of object based canopy and gap information extracting method specially suited for high-resolution imagery to get meaningful tree crown object .The main processes to carry out the experiment and validation on the Quickbird satellite images in Populusxxiaohei plantation even stand at Xue JiaZhuang wood farm in Shanxi Province of China is described in detail in the paper. The average tree numbers identification error is 18.9%. The result shows that this algorithm is an effective way to get segmented crown in real stand image. This algorithm can be powerful tools for precision forestry. We suggest users to choose suitable features and parameter values try by try in forehand applying.