Abstract: We present a theoretical study of the recovery of images x from noisy data y by minimizing a regularized cost-function F(x,y)=/spl Psi/(x,y)+/spl alpha//spl Phi/(x), where /spl Psi/ is a ...

Based on 2-D Gaussian derivative (GD) functions, a bank of 2-D filters is designed ... Four different scenarios are examined to employ these features in HS image classification. Some experiments are ...