| 应用自组织神经树模型进行森林立地分类研究 |
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| 引用本文： | 全志杰,李元科,吕恒.应用自组织神经树模型进行森林立地分类研究[J].国土资源遥感,1997,8(3):46-50. |
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| 作者姓名： | 全志杰 李元科 吕恒 |
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| 作者单位： | 西北林学院 |
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| 摘 要： | 利用航空遥感图像获取森林立地因子信息,在GIS支持下,以研究区内692个地块单元为对象,用自组织神经树模型进行森林立地分类研究,结果表明,该方法分类速度快、精度高、容错能力强,有极好的应用前景。
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| 关 键 词： | 森林立地分类 遥感 自组织神经树模型 |
| 收稿时间： | 1997-06-02 |
| 修稿时间： | 1997-07-20 |
USING THE MODEL OF SELF-ORGANIZED NEURAL TREE TO THE CLASSIFICATION OF FORESTLANDS |
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| Ni Xiuping,Xiao Guochao,Wan Zhilong.USING THE MODEL OF SELF-ORGANIZED NEURAL TREE TO THE CLASSIFICATION OF FORESTLANDS[J].Remote Sensing for Land & Resources,1997,8(3):46-50. |
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| Authors: | Ni Xiuping Xiao Guochao Wan Zhilong |
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| Institution: | Dept of Forestry Northwest Forestry College, Yangling Shanxi 712100 |
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| Abstract: | In this paper, the limitation of introducing pyramid in determining the elements of esterior orientation of image window has been analysed. A practical method by use of ephemeris data to work out exterior orientation elements of first line is proposed, which has been proved by the results of experiment. |
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| Keywords: | SAR image window Pyramid Space resection Analytics |
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