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Sparse Representation-based Dictionary Learning Methods for Hyperspectral Super-Resolution
(Ieee, 2016)
Due to hardware limitations, hyperspectral imagery has low spatial resolution. It can be obtained super-resolution hyperspectral imagery by means of sparse representation-based methods that are designed for improving spatial ...
Automatic Detection and Classification of Non Metallic Inclusions in Steel via Image Processing
(Ieee, 2014)
Non-metallic chemical components (silicate, sulfide, alumina, globular oxide) originated from production process cause inclusions in steel. These inclusions are one of the important factors that directly affect quality of ...