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基于改进支持向量机算法的退耕地树种信息提取
作者姓名:Wu J  Peng DL
作者单位:北京林业大学林学院,省部共建森林培育与保护教育部重点实验室,北京,100083
基金项目:北京林业大学研究生科技创新专项计划项目,国家"十一五"科技支撑计划项目
摘    要:树种间的光谱差异分析及分类算法的改进是利用遥感影像提取树种信息的难点,也是提高退耕地树种信息提取精度的关键.文章采用TM影像,通过不同树种光谱信息的差异分析,筛选出区分树种信息的光谱指标,并采用改进的支持向量机算法对退耕还林地不同树种信息进行了提取.结果表明,该研究算法提取的平均精度为81.7%,较传统支持向量机算法提...

关 键 词:遥感  光谱  支持向最机  树种

Tree species information extraction of farmland returned to forests based on improved support vector machine algorithm
Wu J,Peng DL.Tree species information extraction of farmland returned to forests based on improved support vector machine algorithm[J].Spectroscopy and Spectral Analysis,2011,31(4):1038-1041.
Authors:Wu Jian  Peng Dao-Li
Institution:The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China. xiangfeidewujian@126.com
Abstract:The difference analysis of spectrum among tree species and the improvement of classification algorithm are the difficult points of extracting tree species information using remote sensing images, and are also the keys to improving the accuracy in the tree species information extraction in farmland returned to forests area. TM images were selected in this study, and the spectral indexes that could distinguish tree species information were filtered by analyzing tree species spectrum. Afterwards, the information of tree species was extracted using improved support vector machine algorithm. Although errors and confusion exist, this method shows satisfying results with an overall accuracy of 81.7%. The corresponding result of the traditional method is 72.5%. The method in this paper can achieve a more precise information extraction of tree species and the results can meet the demand of accurate monitoring and decision-making. This method is significant to the rapid assessment of project quality.
Keywords:
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