陈一祥, 秦昆, 冯霞. 一种使用局部空间统计量的高分辨率影像显著结构提取方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(5): 531-535. DOI: 10.13203/j.whugis20120144
引用本文: 陈一祥, 秦昆, 冯霞. 一种使用局部空间统计量的高分辨率影像显著结构提取方法[J]. 武汉大学学报 ( 信息科学版), 2014, 39(5): 531-535. DOI: 10.13203/j.whugis20120144
CHEN Yixiang, QIN Kun, FENG Xia. A Method of Spatial Salient Structure Extraction UsingLocal Spatial Statistics in High Resolution Images[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 531-535. DOI: 10.13203/j.whugis20120144
Citation: CHEN Yixiang, QIN Kun, FENG Xia. A Method of Spatial Salient Structure Extraction UsingLocal Spatial Statistics in High Resolution Images[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 531-535. DOI: 10.13203/j.whugis20120144

一种使用局部空间统计量的高分辨率影像显著结构提取方法

A Method of Spatial Salient Structure Extraction UsingLocal Spatial Statistics in High Resolution Images

  • 摘要: 目的 使用三个局部空间统计量(局部Moran’s I、局部Geary’s C和Getis)来建模影像的空间依赖性,提出了一种简单有效的获取影像显著结构的方法。该方法通过对空间依赖强度特征图像进行3D阈值化来获取影像的同质区或边缘结构,实验结果表明了这三个局部空间统计量在建模影像空间依赖性和获取显著结构方面的性能差异。

     

    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.

     

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