Cloud implementation of hyperspectral image restoration with PCA...

With the widespread application of hyperspectral image, restoration has become an important branch of hyperspectral data processing. Although principal component analysis (PCA), total variation (TV) and soft-thresholding algorithm (PCATV-ST) could restore image effectively, a computing bottleneck may occur with the increase of hyperspectral data volumes. In order to solve the restoration problem effectively and accurately, we put forward a distributed parallel cloud implementation of PCATV-ST ba