The results show that a relatively satisfied classification result can be achieved by using the classification method combined with BP neural network in land cover classification.
结果表明地理辅助数据参与的BP神经网络用于土地覆盖分类研究可以获得相对较好的分类结果。
Then, land cover classification and residential areas extraction with combined texture feature was proposed by the sufficient analysis of the texture feature with different image window.
然后在充分分析影像不同窗口纹理特征的基础上，提出应用组合纹理特征进行土地覆盖分类和居民地信息提取方法。
Techniques of classification are very importance for Land Use and Cover Change(LUCC).
分类方法在土地利用和土地覆盖变化研究中占据重要的地位。
The purpose of this study is to develop a land classification system for national land use and land cover database building and macro land resources dynamic monitoring.
研究目的：研制基于遥感的土地利用与覆被分类系统，为国家土地利用与覆被基础数据库建设和宏观土地资源遥感动态监测提供分类依据。
The accuracy of land vegetative cover index rested with the accuracy of image classification, but had no direct relations with total classification accuracy.
土地植被覆盖指数的准确度取决于图像分类准确度，但与分类总准确度没有直接关系。
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。
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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