Spatial Auto-correlation of Characteristic Parameters in Remotely  Sensing Image Using Optimal Multi-Scale Getis Statistic

doi:10.11834/jig.20060232

Views : 0 下载量: 349 CSCD: 0

PDF
Export
Share
Collection
Album

Spatial Auto-correlation of Characteristic Parameters in Remotely Sensing Image Using Optimal Multi-Scale Getis Statistic
Vol. 11, Issue 2, Pages: 191(2006)
Published：2006
DOI： 10.11834/jig.20060232
稿件说明：

移动端阅览

DOI：

Spatial Auto-correlation of Characteristic Parameters in Remotely Sensing Image Using Optimal Multi-Scale Getis Statistic[J]. Journal of Image and Graphics, 2006, 11(2): 191. DOI： 10.11834/jig.20060232.

摘要

分析了Getis统计中空间尺度设定对于标准Z值的影响，提出用变化的空间尺度设定来进行Gctis空间相关性的计算，直观反映遥感特征参量的空间分布，并用被动微波遥感SSM／I（special sensor microwave／imager）的辐射亮度温度数据进行了验证分析。进一步地，针对Getis标准Z值分布不能评估中值聚类的缺点，提出了多层尺度分布的Getis空间自相关性统计方法，用模拟的图像和主动微波遥感ERS-2SAR（European Remote Sensing-2 Synthetic Aperture Radar）数据进行了验证分析，结果证明多层尺度分布的Getis能够比较全面地反映地表特征参量分布的空间信息。

Abstract

The effect of varying spatial scale of the Getis statistic on the standardized Z value is studied

it is proposed to employ different spatial scales for evaluation of the spatial autocorrelation in the Getis statistic. Multi-scale Getis is analyzed and validated by using passive remote sensing SSM/I data. Furthermore

a novel multi-layer and multi-scale Getis is studied to evaluate the spatial autocorrelation of the pixels with the medium values. An image of active remote sensing ERS-2 SAR gives an example for analysis and validation of this novel multi-layer and multi-scale Getis.

关键词

Keywords

references

Alert me when the article has been cited

提交

暂无数据