Reconstruction Algorithms for MWIR Chromotomography

Abstract

Two methods of chromotomographic reconstruction applicable to the MWIR region of the electromagnetic spectrum were investigated. The first method involved the decomposition of the datacube into principal component space using the center order, broadband image to form and estimate the spatial components. Then this estimate was used to deconvolve an estimate of the spectral components. The second method used an extension of the traditional maximum-likelihood approach to suppress signal-independent noise in reconstructions of simulated low background scenes.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2000
Accession Number
ADA403740

Entities

People

  • J. P. Garcia

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Decomposition
  • Detection
  • Detectors
  • Diffraction
  • Electromagnetic Spectra
  • Focal Planes
  • Frequency
  • Image Reconstruction
  • Military Research
  • Probability
  • Spectra
  • Standards
  • Tomography
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Statistical inference.

Technology Areas

  • Space