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Technique of the second satellite of CBERS-1 image multi-stage information extraction on land use and land cover

机译:CBERS-1卫星第二阶段土地利用和覆被信息提取技术

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Since Oct. 21st 2003, on which the second satellite of CBERS-1 was successfully launched, professionals in the field of remote sensing pay more attention if information about the Earth's surface can be effectively extracted from its collection data. A method on extracting LULC information is discussed using data imaging on Feb. 2nd 2003 in This work. Remote sensing has inherent correlations with geo-knowledge. There are only few men interpreting remote sensing image with spectral knowledge. In this paper, a technique of multi-stage information extraction on LULC is present considering geo-knowledge by analyzing single band valve of sample end members, profile spectrum and constructing spectral band index. Different separable information of LULC is extracted at different stages, during which certain geo-knowledge is fused. In the end, this method is applied to an experiment area-Yun Nan DaLi, which obtains a better classified result compared with other supervised classified and unsupervised classified methods at the same area. Hence, it is useful to extract land use and land cover information from CBERS-1 image and extent application fields of CBERS-1.
机译:自从2003年10月21日成功发射了CBERS-1的第二颗卫星以来,如果可以从其收集数据中有效提取有关地球表面的信息,则遥感领域的专业人员会更加关注。 2003年2月2日,在这项工作中讨论了使用数据成像提取LULC信息的方法。遥感与地理知识具有内在的联系。只有很少的人用光谱知识来解释遥感图像。本文提出了一种基于地理知识的LULC多阶段信息提取技术,该技术通过分析样本末端成员的单带阀,轮廓谱和构建谱带指数来实现。在不同阶段提取LULC的不同可分离信息,在此过程中融合了某些地理知识。最后,将该方法应用于云南大理实验区,与同一地区的其他有监督分类和无监督分类方法相比,该方法获得了更好的分类结果。因此,从CBERS-1图像和CBERS-1的范围应用字段中提取土地利用和土地覆盖信息是有用的。

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