A Spectral Mixing Model Accounting for Multiple Reflections and Shadow

Abstract

In this work, we present a nonlinear spectral mixing model that, apart from the fractional abundances, contains two additional parameters, one accounting for multiple reflections and another accounting for shadow. The model is based on the multilinear mixing (MLM) model that we have proposed earlier. An analysis of the parameter values is performed on a close-range hyperspectral image of a building facade. The model is compared to the linear model and two models that account for only one of the two effects: the linear model with an extra shadow endmember, and the MLM model.