Chaotic Behaviour of Hamiltonian Dynamical Systems. Study of a classical model of the hydrogen atom exposed to circularly polarized laser fields.

We have considered a classical model of the hydrogen atom exposed to a circularly polarized monochromatic electromagnetic wave. This model is related to similar models studied in various fields of physics, including the research in chaotic dynamics. The aim of the investigation has been to detect possible signs of stochasticity using the well established concept of Liapunov-exponents. The physical and mathematical background has been thoroughly explained and adaptions for the given problem have been made. The presented methods have been demonstrated using the H'enon-Heiles model and generalizations of it. The original problem has been simplified by a canonical transformation to the co-moving coordinate system of the lightwave. The properties of this transformation and it's quantum mechanical counterpart have been examined. Numerical methods have been used to integrate the classical equations of motion as well as the defining equations of the Liapunov exponents. In particular a time-tra..

Active Fusion - A New Method Applied to Remote Sensing Image Interpretation

Today's computer vision applications often have to deal with multiple, uncertain, and incomplete visual information. In this paper, we introduce a new method, termed `active fusion', which provides a common framework for active selection and combination of information from multiple sources in order to arrive at a reliable result at reasonable costs. The implementation of active fusion on the basis of probability theory, the Dempster-Shafer theory of evidence and fuzzy sets is discussed. In a sample experiment, active fusion using Bayesian networks is applied to agricultural field classification from multitemporal Landsat imagery. This experiment shows a significant reduction of the number of information sources required for a reliable decision. Keywords: information fusion, image understanding, active fusion, probability theory, Bayesian networks, Dempster-Shafer theory of evidence, fuzzy sets, fuzzy measures, entropy 1 Motivation Information fusion deals with the integration of info..