| 山区林地多季相TM影像综合分类研究 |
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| 引用本文： | 黄建文,鞠洪波. 山区林地多季相TM影像综合分类研究[J]. 福建林学院学报, 2004, 24(2): 136-139 |
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| 作者姓名： | 黄建文 鞠洪波 |
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| 作者单位： | 中国林业科学研究院资源信息研究所,北京,100091 |
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| 基金项目： | 国家"863"科学基金资助项目(2002AA130304). |
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| 摘 要： | 为了提高陆地卫星TM数据在山区林地的分类精度,利用4个季节的帽儿山TM数据进行植被分类,并辅助以物候特征和地面GIS专题信息 采用由简单到复杂的信息提取过程,先利用基于光谱知识的林地提取模型提取林地边界,再用有监分类方法分别进行林地和非林地内部类型信息的提取,生成多季相综合分类图 分类精度比单时相提高了19 6%
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| 关 键 词： | TM影像 GIS专题图 光谱分析 有监分类 |
| 文章编号： | 1001-389X(2004)02-0136-04 |
| 修稿时间： | 2004-02-05 |
Study on Integrated Vegetation Classification by Using Multi-temporal TM Data in Mountainous Area of Northeast China |
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| HUANG Jian-wen,JU Hong-bo. Study on Integrated Vegetation Classification by Using Multi-temporal TM Data in Mountainous Area of Northeast China[J]. Journal of Fujian College of Forestry, 2004, 24(2): 136-139 |
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| Authors: | HUANG Jian-wen JU Hong-bo |
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| Abstract: | In order to improve the vegetation classification accuracy of Landsat TM data in mountainous area,vegetation classification supported by GIS data and phonological information is made by using four-seasonal TM data of maoer mountain in this paper. The procedure of information extraction is from simple to complex: firstly, forest area boundary was extracted based on the spectral knowledge;secondly, supervised classifications were performed within the forest area and non-forest area respectively. In this course,four vegetation classification maps were produced from four TM datasets;finally,integrated vegetation map was derived through GIS analysis model. The overall accuracy is increased by 19.6% compared to the classification result of single seasonal data. |
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| Keywords: | TM imagery GIS thematic map spectral analysis supervised classification |
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