Resolution Study of a Hyperspectral Sensor using Computed Tomography in the Presence of Noise

Abstract

Recently, a new type of hyperspectral imaging sensor has been proposed which simultaneously records both spectral data and multiple spatial dimensions. Unlike dispersive imaging spectrometers, chromo-tomographic hyperspectral imaging sensors (CTHIS) record two spatial dimensions as well as a spectral dimension using computed tomography (CT) techniques with only a finite number of spatially-spectrally diverse images. To date, the factors affecting resolution of these sensors have not been examined. This research examines factors affecting resolution, specifically the number of the focus planes needed to resolve a particular object calculated from a theoretical lower bound, determine a method of reconstructing a hyperspectral object in the presence of noise and background and verify the proposed method of reconstruction and the lower bound applying the proposed reconstruction method to laboratory data. Finally, a simple method is proposed and tested to use this sensor in the presence of atmospheric turbulence with a modified reconstructor to blindly estimate the seeing parameter.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 2012
Accession Number
ADA562604

Entities

People

  • Samuel V. Mantravadi

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Atmospheric Motion
  • Detection
  • Detectors
  • Diffraction
  • Geometry
  • Governments
  • Measurement
  • Random Variables
  • Refraction
  • Three Dimensional
  • Two Dimensional
  • United States
  • United States Government
  • Urban Areas
  • X-Ray Computed Tomography

Fields of Study

  • Physics

Readers

  • Calculus or Mathematical Analysis
  • Image Processing and Computer Vision.