A Multi-Feature Framework for Quantifying Information Content of Optical Remote Sensing Imagery

A Multi-Feature Framework for Quantifying Information Content of Optical Remote Sensing Imagery

Quantifying the information content of remote sensing images is considered to be a fundamental task in quantitative remote sensing. Traditionally, the grayscale entropy designed by Shannon’s information theory cannot capture the spatial structure of images, which has prompted successive proposals of...

Full description

Bibliographic Details
Main Authors: Luo Silong, Zhou Xiaoguang, Hou Dongyang, Nawaz Ali, Kang Qiankun, Wang Sijia
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
remote sensing
multi-feature
information content
Shannon entropy
Boltzmann entropy
spatial structure
Online Access:https://www.mdpi.com/2072-4292/14/16/4068

Internet

https://www.mdpi.com/2072-4292/14/16/4068

Similar Items