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基于改进分割算法的退耕地树冠信息提取(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2016年02期
Page:
167-172
Column:
研究论文
publishdate:
2016-03-30

Article Info:/Info

Title:
Tree-crown information extraction in returning farmland to forest land based on improved segmentation algorithm
Article ID:
1000-2006(2016)02-0167-06
Author(s):
WU Jian12 WANG Shuaishuai1 TAN Jing3
1. Geography Information and Tourism College, Chuzhou University, Chuzhou 239000, China;
2. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou 239000, China;
3. Beijing Oriental Titan Tec
Keywords:
tree-crown information QuickBird segmentation algorithm feature space
Classification number :
S758
DOI:
10.3969/j.issn.1000-2006.2016.02.028
Document Code:
A
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.

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Last Update: 2016-04-01