2017
Rotation invariance through structured sparsity for robust hyperspectral image classification
ICASSP 2017accepted
Sparse representation based classification has gained popularity with geospatial image analysis in general and hyperspectral image analysis in particular. A central idea with such classification approaches is that a test pixel (spectral reflectance vector) can be sparsely represented in a training d…