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《Remote Sensing Technology and Application》 2006-02
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Extraction of Green Space in Urban High Resolution Remote Sensing Image

SUN Xiao-fang~1,LU Jian~1,SUN Xiao-dan~2(1.School of Remote Sensing Information Engineering,Wuhan University,Wuhan 430079,China;2.Computer Department,Fuzhou Vocational and Technical College,Fuzhou 350108,China)  
This paper discusses about the extraction of urban green space from high resolution remote sensing image.Computation 30 green space samples using autocorrelation function,the results shows that movement two pixels,the autocorrelation index is up to 0.95,which to ensure texture window as 5*5.Based on panchromatic image grey co-occurrence matrix,selected 45°,135°,225°,315° four directions means,computation five texture parameter : Mean,variance,homogeneity,contrast,second moment.Applicability multi-resolution segmentation panchromatic image and five texture images,according green space five texture feature to select threshold of image objects that after segmentation,extraction green space information,after accuracy appraisal the right up to 92.8%.The result indicated that the method adopted has good utility on extraction urban green space information from high resolution remote sensing image.
【Fund】: 国家自然科学基金项目“时序空间信息支持的大城市边缘用地结构演变及趋势分析”(40171032)
【CateGory Index】: P237
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