鍏抽敭璇�: 閬ユ劅, 缁垮湴, 绾圭悊, 鍒嗗壊

Abstract:

This paper discusses about the extraction of urban green space from high resolution remote sensing image. Computation 30 green space samples using au tocorrelation function, the results shows that movement two pixels, the autocorrelation index is up to 0. 95, which to ensure texture window as 53 5.Based on panchromatic image grey cooccurrence at rix, selected 45°, 135°, 225°, 315°four directions means, computation five textu reparameter : Mean, variance, mogeneity, contrast, secondmoment.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.

Key words:  Remote sensing, Green space, Texture, Segmentation