南京林业大学学报（自然科学版）2016，Vol.40Issue(2)：167-172,6.DOI:10.3969/j.issn.1000-2006.2016.02.028
基于改进分割算法的退耕地树冠信息提取
Tree-crown information extraction in returning farmland to forest land based on improved segmentation algorithm
摘要
Abstract
Optimization of feature space and improvement of segmentation algorithm are the important links of accurate tree⁃crown information extraction in returning farmland to forest land based on the object⁃oriented technology. They are also an urgent task to solve the problem on the research of feature recognition by high resolution image. QuickBird image of parts of Zhangshanying in Beijing was selected as data source in this study. Firstly, forest area was obtained by the first level segmentation according to spectral threshold. Secondly, the second level segmentation was performed on the panchromatic band dealt with the noise by improved median filter algorithm according to the regional growing algorithm based on regional evolution. Finally, tree⁃crown information extraction was completed using the feature space built by shape, spectral and texture index. Results showed that the overall accuracy of the method in this paper was 91.5% and the KAPPA coefficient was 0�836 2, increased by 15.5% and 0�120 4 than that of the traditional method respectively.关键词
树冠信息/QuickBird/分割算法/特征空间Key words
tree-crown information/QuickBird/segmentation algorithm/feature space分类
农业科技引用本文复制引用
吴见,王帅帅,谭靖..基于改进分割算法的退耕地树冠信息提取[J].南京林业大学学报（自然科学版）,2016,40(2):167-172,6.基金项目
滁州学院科研项目（2014PY07）；安徽省高等学校自然科学研究重点项目（ KJ2015A265）；北京市科技新星计划 （）
