面向对象分类方法在铁尾矿堆快速提取中的应用研究

以黄石市大冶铁矿区为例,利用面向对象分类方法进行铁尾矿堆信息快速提取试验研究。首先,根据WorldView-2影像特点,充分利用其丰富的光谱特征及精确的空间形状特征进行图像分割,突出影像对象边缘、重现地物实际存在情况;其次,分析影像对象的光谱、形状、纹理、拓扑关系等特征信息,建立分类规则进行分类,提取出尾矿堆信息。为了进一步提高分类精度,可以利用eCognition软件RS/GIS数据集成功能,在面向对象分类结果上进行目视解译。试验证明,面向对象分类方法适用于提取矿区尾矿堆信息,是高分辨率遥感影像自动分类的理想选择。

Rapid Information Extraction of the Iron Tailing Pile Using Object-oriented Classification Technique

Taking Daye iron deposit in Huangshi as an example,it extracted the information of the iron tailing pile with object-oriented classification method.First of all,the WorldView-II image was segmented by its rich spectral feature and precise special shape feature to enhance the edge of objects and the relative location of the objects;secondly,analyzing the spectrum,shape,texture and topological relation of the objects,to establish the classification rule,and then extracted the gangue information.In order to improve the accuracy of classification,it could use the RS/GIS data integration function of eCognition,to make visual interpretation based on results of object-oriented classification.The experiment had proved that the object-oriented classification method is appropriate for extracting the information of iron tailing pile and it is the best choice of automatic classification of high-resolution remote sensing image.