For multi-source image pixel-wise classification, each image information is different and
complementary in the same area or scene. However, how to integrate them for decision …

Image matching between the optical and synthetic aperture radar (SAR) is one of the most
fundamental problems for earth observation. In recent years, many researchers have used …

Morphological hierarchies constitute a rich and powerful family of graph-based structures
that can be used for image modeling, processing and analysis. In this article, we focus on an …

For one given scene, multimodal data are acquired from multiple sensors. They share some
similarities across the sensor types (redundant part of the information, also called coupling …

In this article, we enrich the framework of morphological hierarchies with new acyclic graphs
and trees. These structures lie at the convergence of hierarchical models and topological …

The question whether a partition P and a hierarchy H or a tree-like split system S are
compatible naturally arises in a wide range of classification problems. In the setting of …

AGAT is a Java library dedicated to the construction, handling and evaluation of binary
partition trees, a hierarchical data structure providing multiscale partitioning of images and …

The component-hypertree is a data structure that generalizes the concept of component-tree
to multiple (increasing) neighborhoods. However, construction of a component-hypertree is …

The problem of image segmentation is often considered in the framework of graphs. In this
context, two main paradigms exist: in the first, the vertices of a non-directed graph represent …

Morphological hierarchies form a popular framework aiming at emphasizing the multiscale
structure of digital image by performing an unsupervised spatial partitioning of the data …