Improved Atmospheric Characterization for Hyperspectral Exploitation

Abstract

Airborne hyperspectral imaging (HSI) in the LWIR has shown utility in material detection and identification. This research seeks to determine the most effective methods to perform model-based atmospheric compensation of LWIR HSI data by comparing results obtained from different atmospheric profiles. The standard model for mid-latitude summer (MLS) and radiosonde data are compared to the National Operational Model Archive and Distribution System (NOMADS) numerical weather predictions and the Extreme and Percentile Environmental Reference Tables (ExPERT). The two latter atmospheric profiles are generated using the Laser Environmental Effects Definition and Reference (LEEDR) software. MLS has been a standard starting point for model-based atmospheric compensation codes, but this study tests the effectiveness of starting with a more accurate model of the atmosphere. The results suggest improvements can be obtained using NOMADS and ExPERT when compared to MLS and radiosonde approaches.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2017
Accession Number
AD1055417

Entities

People

  • Nathan P Wurst

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Boundary Layer
  • Detection
  • Detectors
  • Hyperspectral Imagery
  • Lapse Rate
  • Layers
  • Light Sources
  • Measurement
  • Radiant Intensity
  • Radiation
  • Scattering
  • Short-Wavelength Infrared Radiation
  • Spectra
  • Standards
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Image Processing and Computer Vision.
  • Statistical inference.

Technology Areas

  • Directed Energy