Real Time Wavelet-Based ATR Project

Abstract

The focus of the project was to develop advanced Automatic Target Recognition (ATR) algorithms to interface with the existing ATR technology at NGC. As outlined in the project proposal, the specific goals of this project were the following: (1) Development of wavelet-based denoising and compression algorithms by Rice CML for SAR and SONAR images. (2) Development of wavelet-based algorithms for ATR in SAR and SONAR data by Rice CML. (3) Transfer of Rice denoising/compression/detection software to NGC for testing on SAR and SONAR data. (4) Application of Rice software in real-time demo. (5) Establishment of a password protected Rice CML ATR website to facilitate information sharing between all parties and technology transfer from Rice to NGC.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2000
Accession Number
ADA385550

Entities

People

  • Raymond Wells Jr.
  • Richard G. Baraniuk

Organizations

  • Rice University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Data Compression
  • Data Processing
  • Detection
  • Digital Signal Processing
  • Hidden Markov Models
  • Image Processing
  • Image Segmentation
  • Images
  • Information Theory
  • Inverse Problems
  • Markov Models
  • Mathematics
  • Signal Processing
  • Sonar Images
  • Synthetic Aperture Radar
  • Target Recognition

Fields of Study

  • Engineering

Readers

  • Neural Network Machine Learning.
  • Technical Research and Report Writing.
  • Wetland-Land-Environmental Management.