Ecole Nationale Supérieure des Mines de Saint-Etienne, France

Speech Title:

Morphological image processing for remote sensing applications 

Abstract:

This keynote is a short introduction to the principles and basic concepts of Mathematical Morphology (MM) with applications to digital image processing and analysis. MM is a collection of non-linear operators related to the shape of geometrical structures in an image. It familiarizes the audience with the understanding, design, and implementation of algorithms in the various sub-areas of morphological image processing such as filtering, segmentation, measurements, texture analysis, shape recognition and scene interpretation. Some relevant remote sensing application examples using such morphological image processing methods will complement the technical descriptions. Some current trends in MM will be finally given, specifically for deep learning.