Spatial Filtering for Enhancing Point Targets in Images from a Space-Based Mosaic IR Detector,

Abstract

We examine by simulation the use of spatial filtering for enhancing the visibility of point targets and reducing the background clutter in imagery obtained with a space-based staring mosaic IR detector array. An experimental digital image-processing system was employed to interactively process Landsat II images containing simulated point targets. First, we obtained improved target detection and clutter rejection by using filters that produced considerably more high-frequency enhancement than the conventional Wiener filter. Second, convolution filters with large-area point-spread functions (e.g., those with 11 by 11 elements or those implemented with a 2-dimensional FFT algorithm) were more effective at attenuating the edges of extended regions of clutter (e.g., those corresponding to clouds, bodies of water, etc.) than were those with small areas (e.g., 3 by 3 or 5 by 5 elements). (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1983
Accession Number
ADA132248

Entities

People

  • J. F. Boulter

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Bodies Of Water
  • Clouds
  • Detection
  • Detectors
  • Digital Image Processing
  • Digital Images
  • Dynamic Range
  • False Alarms
  • Frequency Domain
  • Frequency Response
  • High Pass Filters
  • Image Processing
  • Power Spectra
  • Surveillance
  • Target Detection
  • Two Dimensional
  • Warning Systems

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects