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Optical Engineering

Hyperspectral and high-resolution image fusion based on second generation Bandelet transform
Author(s): Xiaoping Du; Hang Chen; Zhengjun Liu; Xiaojie Dou; Lurui Xia; Xiangzheng Cheng; Congmiao Shan
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Paper Abstract

A fusion algorithm of hyperspectral and high-resolution images based on principal component analysis (PCA) and second generation Bandelet transform is proposed. Primarily, the numerous components of the hyperspectral image are divided. Subsequently, the maximum rule is used to select the Bandelet coefficients and geometry flows of the hyperspectral image which are transformed by PCA in the following step. Finally, the fused image is reconstructed by taking inverse PCA and Bandelet transform. Some numerical simulations are made to test the validity and capability of the proposed fusion algorithm.

Paper Details

Date Published: 3 June 2013
PDF: 10 pages
Opt. Eng. 52(6) 067001 doi: 10.1117/1.OE.52.6.067001
Published in: Optical Engineering Volume 52, Issue 6
Show Author Affiliations
Xiaoping Du, The Academy of Equipment Command & Technology (China)
Hang Chen, The Academy of Equipment Command & Technology (China)
Zhengjun Liu, Harbin Institute of Technology (China)
Xiaojie Dou, The Academy of Equipment Command & Technology (China)
Lurui Xia, The Academy of Equipment Command & Technology (China)
Xiangzheng Cheng, The Academy of Equipment Command & Technology (China)
Congmiao Shan, The Academy of Equipment Command & Technology (China)


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