多光谱图像无损压缩变换

多光谱图像无损压缩变换

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contributed at 2018-12-04

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Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
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Geography SubjectGIScience & Remote SensingCartography

Detailed Description

多光谱图像无损压缩变换

1.    用提升法构造的几种常见的可逆整数小波变换

2.分类压缩方案

 (1)中心波段向量:

式中,p为波段矢量; S(k)为属于k类的波段向量集合; N(k)为属于k类的波段向量个数。

(2)谱间预测器:

式中,

(3)任一点P(i,j,b)的预测值模型:行基

   

 (4)残差图像:

   

参考文献

张荣,俞能海,刘政凯等:基于整数小波变换的多光谱图像无损压缩。遥感学报,2001, 5(1)

How to cite

《资源环境数学模型手册》 (2018). 多光谱图像无损压缩变换, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/bd7db674-19e9-4759-80de-7e62dadab119
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Contributor

contributed at 2018-12-04

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feed back

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