...多分类器集成；土地覆盖分类；遥感影像 [gap=760]keywords：boosting;multiple classifier ensembles;land cover classification;remote sensing ...
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classification of land cover 土地覆盖分类
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。
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。
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