Section: Scientific Foundations

Hierarchical models

Another line of research in the AYIN team concerns development of graph-based, in particular, hierarchical models for very high resolution image analysis and classification. A specific hierarchical model recently developed in AYIN represents an image by a forest structure, where leaf nodes represent image regions at the finest level of partition, while other nodes correspond to image regions at the coarser levels of partitions. The AYIN team is interested in developing multi-feature models of image regions as an ensemble of spectral, texture, geometrical and classification features, and establishing new criteria for comparing image regions. Recent research concerns extension of hierarchical models to a temporal dimension, for analyzing multitemporal data series.