| 森林植被遥感分类研究进展与对策 |
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| 引用本文： | 刘旭升,张晓丽.森林植被遥感分类研究进展与对策[J].林业资源管理,2004(1):61-64. |
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| 作者姓名： | 刘旭升 张晓丽 |
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| 作者单位： | 北京林业大学资源与环境学院,北京,100083 |
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| 基金项目： | 北京林业大学振兴计划人才培养课题资助项目 |
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| 摘 要： | 遥感分类是遥感应用中的主要问题之一,分类的精度直接影响遥感数据的应用水平和实用价值。本文概述了遥感分类的方法,综述了森林植被遥感分类研究的国内外进展,在此基础上分析了森林植被遥感分类存在的问题,提出了发展对策,指出基于知识的人工智能技术和高光谱技术是森林植被遥感分类未来的发展趋势。
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| 关 键 词： | 遥感 分类 森林 植被 对策 |
| 文章编号： | 1002-6622(2004)01-0061-04 |
Research Advances and Countermeasures of Remote Sensing Classification of Forest Vegetation |
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| LIU Xusheng,ZHANG Xiaoli.Research Advances and Countermeasures of Remote Sensing Classification of Forest Vegetation[J].Forest Resources Management,2004(1):61-64. |
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| Authors: | LIU Xusheng ZHANG Xiaoli |
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| Abstract: | Remote sensing classification is one of main topics of remote sensing application. Classification precision directly influences the application level and factual value.Remote sensing classification method is briefly introduced,then advances and prospects of remote sensing classification research of forest vegetation are summarized in details in this article.Besides,the existent problems of remote sensing classification of forest vegetation are analyzed and countermeasures are put forward.Artificial intelligence based on knowledge and high spectrum technology are the development trend of remote sensing classification of forest vegetation in the future. |
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| Keywords: | remote sensing classification forest vegetation countermeasure |
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