A Unified, Multiresolution Framework for Automatic Target Detection and Recognition

Abstract

The basic objective of this research program is to pursue an integrated set of research problems associated with Automatic Target Detection and Recognition (ATD/R). Our research is unified in the sense that it involves the investigation of problems spanning the complete processing chain from sensor signal processing to image analysis to object recognition, thereby allowing us to understand how these individual processing stages interact and influence each other and to define new approaches that cut across established decompositions of the ATD/R problem. A second unifying theme of our work is the development of multiresolution methods. These range from the use of statistically optimal multiresolution algorithms that provide both extremely efficient procedures for image analysis and an explicit and rational basis for addressing noise/resolution tradeoffs to methods for multiresolution characterizations of object geometry and corresponding algorithms for extraction of multiresolution geometric features and for object recognition.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1997
Accession Number
ADA332303

Entities

People

  • A. S. Willsky
  • J. H. Shapiro
  • W. E. L. Grimson

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computer Graphics
  • Computer Vision
  • Detection
  • Detectors
  • Differential Equations
  • Feature Extraction
  • High Resolution
  • Image Processing
  • Image Segmentation
  • Information Processing
  • Information Science
  • Information Theory
  • Object Recognition
  • Signal Processing
  • Synthetic Aperture Radar
  • Target Recognition

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Fluid Dynamics (CFD)
  • Computational Linguistics