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Single Snapshot System for Compressive Covariance Matrix Estimation for Hyperspectral Imaging via Lenslet Array

2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)(2021)

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摘要
Compressive Covariance Sampling (CCS) is a strategy used to recover the covariance matrix (CM) directly from compressive measurements. Several works have proven the advantages of CSS in Compressive Spectral Imaging (CSI) but most of these algorithms require multiple random projections of the scene to obtain good reconstructions. However, several low-resolution copies of the scene can be captured i...
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关键词
Covariance matrix estimation,compressive covariance sampling,lenslet array,spectral imaging
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