Ahmed Ben Hamida

A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model

In this paper, we address the problem of spectral unmixing in urban hyperspectral images using a Maximum A Posteriori (MAP)-based Non-negative Matrix Factorization (NMF) approach. Considering a Linear-Quadratic (LQ) mixing model, we seek to decompose the spectrum observed in each pixel of the image…