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

陈一祥; 秦昆; 冯霞

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

¹ 武汉大学遥感信息工程学院,湖北武汉,430079

基金项目: 国家973计划资助项目(2012CB719903)；高分辨率遥感交通应用示范项目(07-Y30A05-9001-12/13)；中央高校基本科研业务费专项基金资助项目(201121302020010)

详细信息

作者简介:
陈一祥,博士生,从事高分辨率遥感影像特征描述、建模与信息提取以及空间分析研究。

通讯作者:
秦昆

中图分类号: P237.4;TP753
计量
- 文章访问数: 01066
- HTML全文浏览量: 065
- PDF下载量: 0605
出版历程
- 收稿日期: 2013-01-24
- 修回日期: 2014-05-04
- 发布日期: 2014-05-04

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

¹School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China

Funds: The National 973Program of China, No. 2012CB719903; the Research Project on High Resolution Remote Sensing for Transportation, No. 07-Y30A05-9001-12/13; the Fundamental Research Funds for the Central Universities, No. 201121302020010.

More Information

Author Bio:
CHEN Yixiang,PhD candidate,specializes in feature description,modeling and information extraction of high resolution re-mote sensing images and spatial analysis.

Corresponding author:
QIN Kun

摘要

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。
- 空间依赖 /
- 局部空间统计量 /
- 3D阈值化 /
- 结构
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.
- spatial dependence /
- local spatial statistics /
- 3Dthresholding /
- structure