| 基于光谱纹理信息和知识挖掘的SPOT5遥感图像分类研究 |
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| 引用本文： | 李春干,代华兵.基于光谱纹理信息和知识挖掘的SPOT5遥感图像分类研究[J].福建林学院学报,2009,29(3). |
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| 作者姓名： | 李春干 代华兵 |
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| 作者单位： | 1. 北京林业大学省部共建森林培育与保护教育部重点实验室,京,100083;广西林业勘测设计院,广西,南宁,530011
2. 广西林业勘测设计院,广西,南宁,530011 |
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| 基金项目： | 国家自然科学基金资助项目，广西壮族自治区林业局科学基金资助项目 |
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| 摘 要： | 为探讨高分辨率遥感图像用于中小尺度森林分类的模式,利用SPOT5遥感数据、地面样地调查数据和前期森林资源规划设计调查G IS资料,以图像的光谱和纹理信息为主、历史调查数据的知识为辅构建专家知识分类系统对SPOT5图像进行森林分类,并探讨了历史调查数据在该模式中的贡献率。结果表明,对于所选取的8个类别,总体分类精度达到了92.97%,各类别的分类精度均达到87%以上,分类效果良好;历史调查数据在分类过程中的总体贡献率为11.55%,对提高SPOT5图像分类有较大的帮助作用,尤其对竹林、八角和玉桂、灌木林分类的辅助作用表现更为明显。
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| 关 键 词： | SPOT5遥感数据 森林分类 专家分类系统 历史调查数据 |
Classification of SPOT5 remote sensing imagery based on information of spectrum and texture and knowledge mining |
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| LI Chun-gan,DAI Hua-bing.Classification of SPOT5 remote sensing imagery based on information of spectrum and texture and knowledge mining[J].Journal of Fujian College of Forestry,2009,29(3). |
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| Authors: | LI Chun-gan DAI Hua-bing |
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| Institution: | LI Chun-gan1,2,DAI Hua-bing2(1.Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China,2.Guangxi Forest Inventory and Planning Institute,Nanning,Guangxi 530011,China) |
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| Abstract: | To work out a classification routine of forestland in local level using high-resolution satellite imagery,SPOT5 data,field sampling plot data and GIS data of historic forest resources inventory were used to build an expert classification system to classify the forestland with SPOT5 imagery,which was composed of information of spectrum and texture,and the knowledge mined from the historic inventory data.The results indicated that when the imagery was classed to 8 types by this system,the total accuracy of cl... |
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| Keywords: | SPOT5 remote sensing data classification of forestland expert classification system historic inventory data |
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