Continued Development of the Look-up-table (LUT) Methodology for Interpretation of Remotely Sensed Ocean

Abstract

The overall goal of this work is to refine and validate a spectrum-matching and look-up-table (LUT) technique for rapidly inverting remotely sensed hyperspectral reflectances to extract environmental information such as water-column optical properties, bathymetry, and bottom classification. My colleagues at the Florida Environmental Research Institute and I are developing and evaluating techniques for the extraction of environmental information including water-column inherent optical properties (IOPs) and shallow-water bathymetry and bottom classification from remotely-sensed hyperspectral ocean-color spectra. We address the need for rapid, automated interpretation of hyperspectral imagery. The research issues center on development and evaluation of spectrum-matching algorithms, including the generation of confidence metrics for the retrieved information. The present work, which is just starting, continues investigations that were previously funded under a different contract (see the associated report for previous results). The on-going work will continue the evaluation, refinement, and optimization of the LUT technique including, in particular, applications to turbid coastal waters, inhomogeneous water columns, and optically deep waters.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA630741

Entities

People

  • Curtis D. Mobley

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Bathymetry
  • Bays
  • Classification
  • Data Processing
  • Databases
  • Deep Water
  • Hyperspectral Imagery
  • Information Operations
  • Military Operations
  • Optical Properties
  • Reflectance
  • Remote Sensing
  • Scattering
  • Shallow Water
  • Spectra
  • Water

Readers

  • Acoustical Oceanography.
  • Atmospheric Remote Sensing.
  • Computer Vision.