Urban Road Extraction High resolution remotely sensed imagery with Gabor texture and geometrical Features  

作　　者：Hualong Hu Bing Wu Shaomei Huang 

机构地区：[1]Information Engineering University, Zhengzhou 450001 [2]Institute, General Staff ,PLA, Chengdu 610041, china [3]61287 troops, Chengdu 610036

出　　处：《Remote Sensing》2018年第1期22-27,共6页遥感

摘　　要：Through the feature analysis of the frequency curve , The paper proposed a new method which integrated Gabor texture and geometrical features in the urban road Ction from high resolution remotely sensed imagery. in the experiment, the texture features in different frequencies and Different directions were obtained by a given bank of Gabor filters,andthen K-means clus Tering method is applied for imagery segmentation. The morphological methods were utilized to separate the road objects from Non-^oadobjects,<b 21>and the geometrical features were applied to take out the non-road. Then the extracted roads were regulated by mathematical morphology. The result showed this proposed method could effectively extract the urban road information from high resolution Remo Tely sensed imagery.

关 键 词：ROAD extraction GABOR filter TEXTURE GEOMETRICAL FEATURES MATHEMATICAL morphology 

分 类 号：T[一般工业技术]