| 基于ERDAS的森林资源信息提取技术研究 |
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| 引用本文： | 李园园,宋于洋,秦春艳.基于ERDAS的森林资源信息提取技术研究[J].西南林学院学报,2009,29(1):58-61. |
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| 作者姓名： | 李园园 宋于洋 秦春艳 |
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| 作者单位： | 1. 石河子大学,农学院,新疆,石河子,832003
2. 新疆维吾尔自治区发展和改革委员会,经济研究院,新疆,乌鲁木齐,830002 |
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| 基金项目： | 石河子大学高层次人才科研启动资金专项基金 |
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| 摘 要： | 以CBERSCCD影像为信息源，在ERDAS支持下进行监督分类，结合目视解译和实际地面调查进行解译精度分析。结果表明：研究区总的分类精度为73．75％，Kappa系数为0．66，其中主要研究对象荒漠灌木林地的分类精度为88．90％，达到分类精度要求，说明应用ERDAS中的监督分类模块对灌木林信息的提取是十分方便、快捷而又准确的。
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| 关 键 词： | ERDAS 监督分类 分类精度 荒漠灌木林 |
Research on ERDAS Based Information Collection Technology of Forest Resources |
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| LI Yuan-yuan,SONG Yu-yang,QIN Chun-yan.Research on ERDAS Based Information Collection Technology of Forest Resources[J].Journal of Southwest Forestry College,2009,29(1):58-61. |
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| Authors: | LI Yuan-yuan SONG Yu-yang QIN Chun-yan |
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| Institution: | LI Yuan-yuan , SONG Yu-yang , QIN Chun-yan ( 1. College of Agriculture, Shihezi University, Shihezi Xinjiang 832003, China; 2. Institute of Economic Research, Development and Reform Commission of Xinjiang Uygur Autonomous Region, Urumqi Xinjiang 830002, China) |
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| Abstract: | The interpretation accuracy analysis was done by means of taking CBERS CCD as the information source, carrying out supervised classification under ERDAS support and combining visual interpretation with the field survey. The result showed that the general classification accuracy of the research area was 73.75%, the Kappa coefficient was 0.66. The classification accuracy of the desert shrubbery land as the major study object reached 88.90%, meeting the classification accuracy requirement. The study indicated that shrub land information collection based on ERDAS system with supervised classification model was very convenient, rapid and accurate. |
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| Keywords: | ERDAS |
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