Sequential Adaptive Multi-Modality Target Detection and Classification Using Physics Based Models

Abstract

This project's focus is on sensor management and associated issues in modeling, estimation, image reconstruction, and classification, for radar sensing. The central thesis of our original proposal was that intelligent sensor management can provide gains in performance and in operational requirements (energy consumption, deployment time, or exposure to hostile fire). We believe that we have demonstrated this thesis for several key application areas of interest to the army. These areas include minesweeping and detection of UXO, radar multiple target tracking, and energy-aware radar imaging through walls, earth or other attenuating media.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADB329043

Entities

People

  • A. E. Yagle
  • A. O. Hero
  • Kamal Sarabandi

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Detection
  • Detectors
  • Electromagnetic Scattering
  • Experimental Design
  • Information Processing
  • Inverse Scattering
  • Machine Learning
  • Millimeter Waves
  • Multitarget Tracking
  • Reinforcement Learning
  • Remote Sensing
  • Signal Processing
  • Target Detection
  • Target Tracking
  • Wave Propagation

Readers

  • Medical Imaging.
  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.