The paper briefly introduces the fundamentals of neural network of self-organizing feature map and on the basis of which discusses the classification of land reclamation conditions.

本文简要介绍了自组织特征映射神经网络的基本原理，并利用其原理对土地复垦的条件分类进行了初步研究。

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Then, based on the continuous land surface map of tree, herbaceous and bare, the land use classification was made using expert classifier.

然后根据所生成的林地、草本和裸地的连续覆盖图，基于专家分类器进行土地利用分类。

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Land cover map of classification was generated for major biological conservation areas in Yunnan province using MODIS data and decision tree joined maximum likelihood classifications.

该文主要探讨了如何在生物保护中利用MODIS数据获得区域土地覆被分类信息。

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