Design of combined optical imagers using unmixing-based hyperspectral data fusion

Unmixing-based hyperspectral and multispectral data fusion enables the production of high-spatial-resolution and hyper-spectral imagery with small spectral errors. In this work, we present sensor design of combined optical imagers using unmixing-based data fusion, which aims to fuse hyperspectral and multispectral sensors and improve the performance of the final fused data. Owing to the degeneracy of the data cloud and additive noise, there is an optimal range in the relationship of spatial resolutions between two imagers.

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