System for Eliminating or Reducing Exemplar Noise Effects (Serene)

Abstract

The Intelligent Hypersensor Processing System (IHPS) is a system for the rapid detection of small, weak, or hidden objects, substances, or patterns embedded in complex backgrounds, providing fast adaptive processing for demixing and recognizing patterns or signatures in data provided by certain types of "hypersensors". SERENE introduces an improved noise reduction algorithm useful on systems which use hypersensors such as IHPS, or other systems which use sensors which are hyper or multi spectral. The SERENE technique may be employed through out the Learning Module Processor pipelining and further processes the data stream to filter intrinsic and extrinsic noise, and minimize exemplar noise effects in the exemplar set. This system represents an alternative to prior systems for hidden object detection by solving the problems encountered when attempting to detect hidden objects/targets in dynamic scenarios at real-time.

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Document Details

Document Type
Technical Report
Publication Date
Mar 12, 1998
Accession Number
ADD018900

Entities

People

  • Jeffrey H. Bowles
  • John A. Antoniades
  • John M. Grossman
  • Mark M. Baumback
  • Peter J. Palmadesso

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Autocorrelation
  • Boundaries
  • Computations
  • Convex Sets
  • Correlation Techniques
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Information Science
  • Learning
  • Parallel Computing
  • Parallel Processing
  • Patent Applications
  • Statistics
  • Two Dimensional

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.