| 基于TM遥感影像的森林类型分类方法比较 |
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| 引用本文： | 张淑芬,邢艳秋,艾合买提江·阿不都艾尼,孙小添.基于TM遥感影像的森林类型分类方法比较[J].森林工程,2014(1):18-21. |
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| 作者姓名： | 张淑芬 邢艳秋 艾合买提江·阿不都艾尼 孙小添 |
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| 作者单位： | [1]东北林业大学工科实习中心,哈尔滨150040 [2]东北林业大学森林作业与环境研究中心,哈尔滨150040 |
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| 基金项目： | 国家自然科学基金资助项目（41171274）;中国科学院数字地球重点实验室开放基金课题（2011LDE012）;黑龙江省教育厅科学技术研究项目（1154G51） |
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| 摘 要： | 以吉林省汪清林业局为例,基于Landsat5-TM影像,充分利用遥感影像光谱信息,分别采用动态聚类法和组合监督分类法对该林区的森林类型进行分类,并对分类结果的精度进行比较分析.研究结果表明,利用组合监督分类的精度比动态聚类法分类的精度要高,总体分类精度高11％,其中针叶林、阔叶林、混交林和其他用地的分类精度分别高8％、11％、17％和10％.
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| 关 键 词： | Landsat5-TM 森林类型 分类 分类精度 |
Comparison on Forest Type Classification Methods Based on TM Images |
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| Zhang Shufen,Xing Yanqiu,Aihemaitijiang ·Abuduaini,Sun Xiaotian.Comparison on Forest Type Classification Methods Based on TM Images[J].Forest Engineering,2014(1):18-21. |
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| Authors: | Zhang Shufen Xing Yanqiu Aihemaitijiang ·Abuduaini Sun Xiaotian |
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| Institution: | 1. Engineering Practice Center of Northeast Forestry University, Harbin, 150040 ; 2. Forest Operations and Environment Research Center, Northeast Forestry University, Harbin 150040) |
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| Abstract: | Based on spectral information of Landsat5 - TM remote sensing images, the paper employed the ISODATA classifica- tion method and the combined supervised classification method to respectively classify the forest types in Wangqing Forestry Bureau in Jilin Province. The accuracy of the classification results was analyzed and compared. The results showed that the accuracy of com- bined supervised classification was higher than that of ISODATA classification, with 11% higher in overall classification accuracy and 8% , 11% , 17% , and 10% higher for needle leaves-forest, broad leaved-forest, mixed forest, and other land use classification, respectively. |
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| Keywords: | Landsat5 - TM forest types classification classification accuracy |
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