Principle component analysis based hyperspectral information fusion in imaging spectropolarimeter

来源 :2016年第二届光子学与光学工程国际会议暨第八届西部光子学会议 | 被引量 : 0次 | 上传用户:jimiwison
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  An information fusion method based on principal component analysis(PCA)was proposed for the spatial,spectral and poalrization information fusion taken by the imaging spectropolarimeter.The fusion method inspired by the local moving window and PCA was used to combine the different information coded in each image effectively.In the fusion procedure,the noise part was recognised and surppressed adaptively.It provides us an alternative approach to implement the various optical information fusion.
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