Quantifying Information Content in Multispectral Remote-Sensing Images Based on Image Transforms and Geostatistical Modelling

Quantifying Information Content in Multispectral Remote-Sensing Images Based on Image Transforms and Geostatistical Modelling

Quantifying information content in remote-sensing images is fundamental for information-theoretic characterization of remote sensing information processes, with the images being usually information sources. Information-theoretic methods, being complementary to conventional statistical methods, enabl...

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Bibliographic Details
Main Authors: Ying Zhang, Jingxiong Zhang, Wenjing Yang
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
information content
spectral dependence
spatial dependence
independent component analysis
normal transform
variograms
additive noise
Online Access:https://www.mdpi.com/2072-4292/12/5/880

Internet

https://www.mdpi.com/2072-4292/12/5/880

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