An approach to extracting information of residential areas from Beijing-1 image based on Gabor texture segmentation

作     者：J.Gong X.Yang F.Su Y.Du D.Zhang 

作者机构：School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina State key Lab of Resources and Environment Information SystemCASBeijingChina 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2009年第2卷第2期

页      面：186-193页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by a grant from the National High Technology Research and Development Program of China(863 Program)(No.2005AA133013,No.2006CB701305) the Major State Basic Research Development Program of China(973 Program)(No.2006CB701305) 

主　　题：Gabor filter texture segmentation Beijing-1 small satellite image processing 

摘      要：According to the features of high-resolution panchromatic imagery of Beijing-1 small satellite,an approach to extracting information of residential areas is proposed in this paper based on Gabor texture *** algorithm extracts the features in different directions and different scales by building the Gabor filter,uses cluster analysis of multiple features to segment the image,and performs the fusion processing based on morphological scale *** solves the problems in image processing resulting from low contrast between remote sensing objects and background,the blurring of image edges and high *** has the benefits of direction selection and frequency selection with strong self-adaptive *** experiments prove the effectiveness of the approach for extracting information of residential areas from Beijing-1 high-resolution imagery.