Applications of Hyperspectral Data in Coastal Marine Environments.

Abstract

High resolution spectral data collected during field exercises at Eglin Air Force Base, near Fort Walton Beach, Florida, during August 1994 are presented to demonstrate the usefulness of this type of data for estimating the reflectance of land and water features in a coastal marine environment. The data consists of spectral imagery collected by the Compact Airborne Spectrographic Imager (CASI) and in-situ spectral data measured by the Analytical Spectral Devices, Inc. VNIR FieldSpec (ASD). A remote sensing reflectance model is used to compute water reflectance from the CASI and ASD data. The good agreement between the CASI and ASD results suggest that airborne and eventually spaceborne hyperspectral sensors can be used to measure water reflectance. The spectral reflectance signatures of several land features found at the Eglin test site demonstrate that hyperspectral data is a valuable tool for distinguishing between features. Principal component analysis is also used in an effort to reduce the dimensionality of the hyperspectral data. The results show that, for both the CASI and ASD data, over 90% of the variability of the data is contained in the first two principal components. The data analysis procedures developed to process both the CASI and ASD data are also presented. jg p7

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Document Details

Document Type
Technical Report
Publication Date
Nov 17, 1995
Accession Number
ADA302222

Entities

People

  • Gregory E. Terrie

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Agreements
  • Air Force
  • Air Force Facilities
  • Airborne
  • Computing-Related Activities
  • Data Analysis
  • Data Science
  • Detectors
  • Environment
  • Factor Analysis
  • High Resolution
  • Information Science
  • Reflectance
  • Remote Sensing
  • Spaceborne

Readers

  • Atmospheric Remote Sensing.
  • Geospatial Intelligence and Artificial Intelligence Analytics