Information entropy of remote sensing images and its applications in image fusion

Jian Lu; Man Peng; Xin Lu

doi:10.1117/12.681714

9 June 2006 Information entropy of remote sensing images and its applications in image fusion

Jian Lu, Man Peng, Xin Lu

Proceedings Volume 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China; 62000I (2006) https://doi.org/10.1117/12.681714
Event: Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 2005, Guiyan City, China

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.

Citation Download Citation

Jian Lu, Man Peng, and Xin Lu "Information entropy of remote sensing images and its applications in image fusion", Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000I (9 June 2006); https://doi.org/10.1117/12.681714

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