Bathymetry from Hyperspectral Imagery

Abstract

This work used hyperspectral imagery to derive shallow water depth estimates. A technique to classify substrates and estimate reflectance values for the substrate types is the major contributions of this work. This was accomplished by masking different bottom types based on spectra, effects that were not included in previous methods. HYDICE data was taken over Lake Tahoe on June 22, 1995. The high altitude of the lake provided a low aerosol content within the atmosphere. This allowed for relatively straight forward atmospheric corrections. This was substantially easier than in an oceanic environment. The atmospheric radiative transfer code MODTRAN3.O was used to model the atmospheric conditions at the time of the experiment. The radiative transfer code HYDROLIGHT3.5 was used to model the attenuation coefficients of the relatively clear water of the lake. Minimal river input and low chlorophyll concentrations made it simpler to determine these values. Making use of the full spectral content of data within the optical range, multiple substrates were differentiated and masked off. This allowed for an estimation on wet substrate reflectance and a straight forward calculation of bottom depth.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1996
Accession Number
ADA329389

Entities

People

  • L. D. Stuffle

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Aircrafts
  • Detection
  • Detectors
  • Electromagnetic Radiation
  • Geography
  • Hyperspectral Imagery
  • Measurement
  • Oceanography
  • Optical Properties
  • Optics
  • Refraction
  • Remote Sensing
  • Scattering
  • Sea Water
  • Seabed
  • Visible Spectra

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Image Processing and Computer Vision.
  • Regression Analysis.