A Dempster-Shafer evidence theory-based approach to object classification on multispectral/hyperspectral images

The algorithm for object classification on multispectral/hyperspectral images based on the Dempster-Shafer evidence theory is represented. The algorithm allows detecting not only separate classes but also their composition, i.e. takes into account the “mixed” pixels inherent in the presence of medium spatial resolution images.