Abstract: Objective Homogeneous regions or edges are important structural information for object recognitionand extraction in high resolution remote sensing images.This paper considers the homogeneous re-gions and edges from the perspective of spatial dependence,which is a measure of the spatial associa-tion between the pixel values in the image.Spatial dependence is one of the spatial characteristics ofhigh resolution images.Based on the measure to spatial dependence using local spatial statistics(localMoran’s I,local Geary’s C and Getis),this paper proposes a simple,effective method of extractingspatial salient structures(homogeneous regions or edges)which adopts a new technique of 3Dthresh-olding for spatial dependence intensity.Comparative experiments show the potential and performancedifferences of three statistics in modeling spatial dependence and extracting spatial salient structures.