28 February 2017 Principle component analysis based hyperspectral image fusion in imaging spectropolarimeter
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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.
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Wenyi Ren, Wenyi Ren, Dan Wu, Dan Wu, Jiangang Jiang, Jiangang Jiang, Guoan Yang, Guoan Yang, Chunmin Zhang, 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); doi: 10.1117/12.2256805; https://doi.org/10.1117/12.2256805
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