LUT Wrap Up

Abstract

The overall goal of this work was to develop and validate a spectrum-matching and look-up-table (LUT) technique for rapidly and accurately inverting remotely sensed multi- or hyperspectral reflectances to extract bathymetry, bottom classification, and water-column optical properties. My colleague W. P. Bissett and I have developed (Mobley et al., 2005) and evaluated (Mobley and Lesser, 2007; Dekker et al., 2011) new techniques for the extraction of environmental information including shallow-water bathymetry, bottom classification, and water-column inherent optical properties (IOPs), from remotely sensed multi- and hyperspectral ocean-color imagery. We have addressed the need for rapid, semi-automated interpretation of such imagery. My research centered on development and evaluation of the spectrum-matching algorithms and associated software, including the generation of confidence metrics for the retrieved information. The final task of this work was to evaluate commercially available DigitalGlobe WorldView-2 (WV2) satellite multi-spectral imagery for retrieval of bathymetry in various waters.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2012
Accession Number
ADA572942

Entities

People

  • Curtis D. Mobley

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Accuracy
  • Artificial Satellites
  • Beta Testing
  • Detectors
  • Environment
  • Hyperspectral Imagery
  • Military Operations
  • Optical Properties
  • Optics
  • Radiative Transfer
  • Reflectance
  • Remote Sensing
  • Satellite Imaging
  • Shallow Water
  • Spectra
  • Test And Evaluation

Readers

  • Coastal Oceanography
  • Sensor Fusion and Tracking Systems.
  • Software Engineering.

Technology Areas

  • Space