The UK OST Technology Foresight for defence and aerospace identified multi-sensor data
fusion as a future critical enabling technology for the UK, requiring a coordinated research …

In this paper, we address the problem of joint tracking and recognition of a target using a
sequence of high resolution radar (HRR) range-profiles. The likelihood function for the …

A family of conditionally Gaussian signal models for synthetic aperture radar (SAR) imagery
is presented, extending a related class of models developed for high resolution radar range …

Image Recognition and Classification Page 1 Page 2 Marcel Dekker, Inc. New York • Basel TM
Image Recognition and Classification Algorithms, Systems, and Applications edited by Bahram …

This monograph gives an introduction to the fundamentals of Markovian modeling in image
segmentation as well as a brief overview of recent advances in the field. Segmentation is …

Deformable template representations of observed imagery model the variability of target
pose via the actions of the matrix Lie groups on rigid templates. In this paper, we study the …

The detection and recognition of dim and small infrared (IR) targets across domains pose
two formidable challenges: distributional discrepancies in samples and scarcity or absence …

MCMC sampling is a methodology that is becoming increasingly important in statistical
signal processing. It has been of particular importance to the Bayesian-based approaches to …

Traditional data-driven algorithms suffer from data reliance, hyperparameter sensitivity, and
faint characteristics in infrared (IR)“low, slow, and small” unmanned aerial vehicle target …

We propose a new class of generative model that naturally handles data of varying
dimensionality by jointly modeling the state and dimension of each datapoint. The …