Maximum a Posteriori (MAP) Estimates for Hyperspectral Image Enhancement

Abstract

In completing this Phase 2 SBIR, ATK Mission Research with help from the University of Dayton, has accomplished the intended goal of the SBIR program by developing a commercially marketable Hyperspectral Image Enhancement system. This system implements a coherent and rigorous physics model for HSI spatial resolution enhancement on a Mercury Multi-Computer platform. Our SBIR research effort has led to the completion of a Maximum A Posteriori (MAP) algorithm for constructing a high-spatial resolution hyperspectral enhancement from a low-spatial resolution hyperspectral image, by incorporating registered higher-resolution imagery from an auxiliary sensor. Although we have focused on the enhancement of a hyperspectral image using high-resolution panchromatic data, the estimation software delivered allows for any number of spectral bands to be employed from the auxiliary sensor.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2004
Accession Number
ADA429581

Entities

People

  • Andrew C. Lindgren
  • Gregory L. Wilson
  • Pamela S. Smith
  • Russell C Hardie
  • Thomas M. Fitzgerald

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Computations
  • Computer Programming
  • Computers
  • Detection
  • Detectors
  • Distribution Functions
  • Factor Analysis
  • Graphical User Interface
  • High Resolution
  • Human Systems Integration
  • Hyperspectral Imagery
  • Long-Wavelength Infrared Radiation
  • Operating Systems
  • Parallel Computing
  • Random Variables

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Research Science/Academic Research
  • Software Engineering