Sparse representation-based hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1249-1
Abstract: This paper presents an approach for hyperspectral image classification using contextual sparse coefficients based on sparse representations. The main idea is that the sparse coefficients obtained through sparse representation-based modelling of the hyperspectral images contain… read more here.
Keywords: image; sparse representation; sparse coefficients; hyperspectral image ... See more keywords
Image Super-Resolution via Self-Similarity Learning and Conformal Sparse Representation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2879742
Abstract: It is well known that the super-resolution reconstruction method based on sparse representation has a superior research value. However, the sparse coefficients of low-resolution (LR) patches by a classic method are not loyal to high-resolution… read more here.
Keywords: resolution; self similarity; sparse representation; super resolution ... See more keywords