Quantifying degrees of information in remote sensing imagery

被引：0

作者：

Lin, Zongjian ^{[1
]}

Deng, Bing ^{[1
]}

机构：

[1] Chinese Acad Surveying & Mapping, Beijing 100039, Peoples R China

来源：

PROCEEDINGS OF THE 8TH INTERNATIONAL SYMPOSIUM ON SPATIAL ACCURACY ASSESSMENT IN NATURAL RESOURCES AND ENVIRONMENTAL SCIENCES, VOL I: SPATIAL UNCERTAINTY | 2008年

关键词：

information quantity; uncertainty; entropy; remote sensing imagery; correlation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

So far there's been no metrology on the measurement of information of remote sensing imagery. We introduce the conception "Information quantity" from information theory to solve this problem. In this paper, the method and formulation for calculating information content of remote sensing imagery are discussed. Furthermore, we calculate the information quantity of some imagery and analyze the factors that affect the calculation on information quantity.

引用

页码：201 / 205

页数：5