Due to sensor limitations, hyperspectral images (HSIs) are acquired by hyperspectral sensors with high-spectral-resolution but low-spatial-resolution. It is difficult for sensors to acquire images with high-spatial-resolution and high-spectral-resolution simultaneously. Hyperspectral image super-resolution tries to enhance the spatial resolution of HSI by software techniques. In recent years, various methods have been proposed to fuse HSI and multispectral image (MSI) from an unmixing or a spectral dictionary perspective. However, these methods extract the spectral information from each image individually, and therefore ignore the cross-correlation between the observed HSI and MSI. It is difficult to achieve high-spatial-resolution while preserving the spatial-spectral consistency between low-resolution HSI and high-resolution HSI. In this paper, a self-dictionary regression based method is proposed to utilize cross-correlation between the observed HSI and MSI. Both the observed low-resolution HSI and MSI are simultaneously considered to estimate the endmember dictionary and the abundance code. To preserve the spectral consistency, the endmember dictionary is extracted by performing a common sparse basis selection on the concatenation of observed HSI and MSI. Then, a consistent constraint is exploited to ensure the spatial consistency between the abundance code of low-resolution HSI and the abundance code of high-resolution HSI. Extensive experiments on three datasets demonstrate that the proposed method outperforms the state-of-the-art methods.

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endmember dictionary spatialspectral consistency between lowresolution hsi and highresolution highspatialresolution constraint abundance code of lowresolution hsi the spectral consistency common sparse basis selection crosscorrelation between selfdictionary regression based method sensors hsi and multispectral image msi unmixing image superresolution

Dongsheng Gao,Zhentao Hu,Renzhen Ye,.Self-Dictionary Regression for Hyperspectral Image Super-Resolution. 10 (10),.

Dongsheng Gao,Zhentao Hu,Renzhen Ye,"Self-Dictionary Regression for Hyperspectral Image Super-Resolution" 10

Dongsheng Gao,Zhentao Hu,Renzhen Ye,"Self-Dictionary Regression for Hyperspectral Image Super-Resolution"