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Proceedings Paper

Information entropy of remote sensing images and its applications in image fusion
Author(s): Jian Lu; Man Peng; Xin Lu
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Paper Abstract

Aiming at improving radiometric resolution in remote sensing images of the new generation, this paper developed a method for double byte joint entropy based on proper quantization, which is known to affect entropy, and decorrelation of pixels and bands in multi-spectral images. Joint entropy for images is computed and analyzed, which is close to non-memory, implying that the result is more accurate. The proposed method can be used for the optimum bands selection and quality evaluation in image fusion, which is valuable for increasing precision in entropy analysis.

Paper Details

Date Published: 9 June 2006
PDF: 6 pages
Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000I (9 June 2006); doi: 10.1117/12.681714
Show Author Affiliations
Jian Lu, Wuhan Univ. (China)
Man Peng, Wuhan Univ. (China)
Xin Lu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6200:
Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China
Qingxi Tong; Wei Gao; Huadong Guo, Editor(s)

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