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浙江大学学报(工学版)
J4  2010, Vol. 44 Issue (3): 420-425    DOI: 10.3785/j.issn.1008973X.2010.03.002
自动化技术、计算机技术     
高分辨率影像香榧树分布信息提取
韩凝, 张秀英, 王小明, 陈利苏, 王珂
浙江大学 农业遥感与信息技术应用研究所, 浙江 杭州 310029
Identification of distributional information Torreya Grandis Merrlllii
using high resolution imagery
 HAN Ning, ZHANG Xiu-Yang, WANG Xiao-Meng, CHEN Li-Su, WANG Ke
 全文: PDF 
摘要：

为了准确确定香榧树的空间分布、定量分析香榧树的适宜生长环境,基于IKONOS卫星影像,通过地统计半方差分析评价植被类型的可分性，并获取灰度共生矩阵纹理计算的最佳窗口；综合光谱信息、植被指数和纹理信息,应用C5.0决策树算法获取研究区地物分类的最优特征及规则,对香榧树的分布进行信息提取,其生产者精度为77.33%,用户精度为76.32%,该结果表明，基于决策树的香榧树分布遥感信息提取方法具有应用价值.
关键词： 香榧;  植被指数;  纹理;  灰度共生矩阵;  决策树;  半方差分析    
Abstract:

In order to model the growth circumstance of Torreya Grandis Merrillii, obtaining its exact spatial distribution has significant importance. The present study identified the Torreya Grandis Merrillii distribution information from IKONOS imagery, combining the spectral and textural features. Semivariograms were calculated to assess the separability of vegetation class and assess which spatial scales were most appropriate for calculation of greylevel cooccurrence texture measures to maximize structural class separation. Four spectral values, three vegetation indices and their greylevel cooccurrence texture measures were used in the decision tree model C5.0 to identify Torreya Grandis Merrillii. The producer’s accuracy of identified Torreya Grandis Merrillii was 77.33%, and the user’s accuracy was 76.32%, indicating that the proposed method is feasible to extract the distribution information of Torreya Grandis Merrillii.
Key words:  Torreya Grandis Merrillii    vegetation index    image texture    greylevel cooccurrence matrix    decision tree    semivariograms analysis
出版日期: 2010-04-01
:  TP 751.1  
基金资助:

国家自然科学基金资助项目（30671212）；浙江省新苗人才计划资助项目（2007R40G2010015）
通讯作者: 王珂,男,教授     E-mail: kwang@zju.edu.cn
作者简介: 韩凝（1983—）,女,陕西汉中人,博士生,从事遥感研究.Email: hanning22@zju.edu.cn
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引用本文:

韩凝, 张秀英, 王小明, 陈利苏, 王珂. 高分辨率影像香榧树分布信息提取[J]. J4, 2010, 44(3): 420-425.

HAN Ning, ZHANG Xiu-Yang, WANG Xiao-Meng, CHEN Li-Su, WANG Ke. Identification of distributional information Torreya Grandis Merrlllii
using high resolution imagery. J4, 2010, 44(3): 420-425.

链接本文:

http://www.zjujournals.com/xueshu/eng/CN/10.3785/j.issn.1008973X.2010.03.002    或    http://www.zjujournals.com/xueshu/eng/CN/Y2010/V44/I3/420

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