Adaptive Multispectral Image Processing for the Detection of Targets in Terrain Clutter

Abstract

In passive detection of small infrared targets in image data, we are faced with difficult task of enhancing some characteristic of the target or signal while suppressing the clutter or background image noise. We reported that an effective means by which targets may be identified is to exploit characteristics which exists between scenes measured in different bands in the Long Wave Infrared (LWIR) region of the electromagnetic (EM) spectrum. These methods are broadly termed multispectral techniques. In this paper we present a method by which in two-dimensional least-mean square (LMS) adaptive filter is used to distinguish between target and clutter using multispectral techniques.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1992
Accession Number
ADA266842

Entities

People

  • C. R. Yerkes
  • J. R. Zeidler
  • L. E. Hoff

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Adaptive Filters
  • Algorithms
  • Clutter
  • Data Processing
  • Data Science
  • Detection
  • Detectors
  • Electromagnetic Radiation
  • Filters
  • Geometry
  • Ground Clutter
  • Image Processing
  • Information Processing
  • Information Science
  • Ocean Surveillance
  • Two Dimensional
  • Word Processors

Readers

  • Computer Vision.
  • Radio communications and signal processing.
  • Spectroscopy.