Detection, Classification, & Identification of Objects in Cluttered Images

Abstract

The overall, long-term objective is to develop and implement the methodology to detect, classify, and identify in near-real time mines and obstacles in cluttered acoustic images.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA551602

Entities

People

  • Steve Elgar
  • Vinod Chandran

Organizations

  • Washington State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Classification
  • Databases
  • Detection
  • Electrical Engineering
  • Engineering
  • False Alarms
  • Feature Extraction
  • Filters
  • Identification
  • Image Processing
  • Information Science
  • Machine Learning
  • Matched Filters
  • Noise
  • Pattern Recognition
  • Recognition
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Coastal Oceanography
  • Neural Network Machine Learning.