面向对象的塌陷地提取  

Extraction of subsidence ground oriented to objects

作　　者：朱国龙[1,2] 汪云甲[1,2] 赵一清[1,2] 刘乐乐[1,2] 乔浩然[1,2] 

机构地区：[1]中国矿业大学环境与测绘学院,江苏徐州221008 [2]江苏省资源环境信息工程重点实验室,江苏徐州221008

出　　处：《煤炭工程》2010年第2期75-77,共3页Coal Engineering

基　　金：教育部全国优秀博士学位论文作者专项资金资助项目(200348);国家自然科学基金助项目(50774080)

摘　　要：针对塌陷地的光谱特征和空间结构特征的特点,采用一种面向对象的技术,实现了塌陷地的信息提取。首先,采用形态学方法建立滤波器,对影像进行形态学重建,然后对影像进行分水岭分割,将影像进行多尺度分割后,影像被分割为多个相互独立的闭合区域,并且每个区域作为一个独立的对象,计算每个对象的光谱、形状、纹理等等各种特征,并把它们作为分类的依据;其次,根据提取专题的不同进行特征选择;接着根据所选择的特征选择分类器进行塌陷地提取。To extract subsided land is a matter of ecological restoration. Making full use of spectral information and spatial texture feature, subsided land extraction is realized based on object - oriented method . Firstly, filter is reconstructed by morphology, and image is reconstructed by morphology, after multi - scale segmentation by watershed segmentation, image is segmented into closure and Independent regions, and the spectral feature, form feature and texture feature are calculated for the basis of classification; then features are selected on the basis of thematic extraction. Lastly, subsided land is extracted by classifier in the light of selected features, object - oriented method has better accuracy than othermethods.

关 键 词：面向对象 塌陷地 分水岭分割 特征选择 信息提取 

分 类 号：TD325.4[矿业工程—矿井建设]