Identification of the London plane in urban alignment based on hyperspectral data and contextual information
Résumé
This paper presents an approach for identifying the London plane in urban alignment based on hyperspectral data and contextual information. The proposed approach allows the London plane street trees of a study case to be perfectly identified thanks to both a supervised classification and a post regularization of the species prediction, based on the alignment membership derived from a Marked Point Process approach.