Principle component analysis based hyperspectral image fusion in imaging spectropolarimeter

Wenyi Ren; Dan Wu; Jiangang Jiang; Guoan Yang; Chunmin Zhang

doi:10.1117/12.2256805

28 February 2017 Principle component analysis based hyperspectral image fusion in imaging spectropolarimeter

Wenyi Ren, Dan Wu, Jiangang Jiang, Guoan Yang, Chunmin Zhang

Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 102561E (2017) https://doi.org/10.1117/12.2256805
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China

Abstract

Image fusion is of great importance in object detection. A PCA based image fusion method was proposed. A pixel-level average method and a wavelet-based methods have been implemented for a comparison study. Different performance metrics without reference image are implemented to evaluate the performance of image fusion algorithms. It has been concluded that image fusion using PCA based method showed better performance.

Citation Download Citation

Wenyi Ren, Dan Wu, Jiangang Jiang, Guoan Yang, and Chunmin Zhang "Principle component analysis based hyperspectral image fusion in imaging spectropolarimeter", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 102561E (28 February 2017); https://doi.org/10.1117/12.2256805

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