Ocean Thermal Feature Recognition, Discrimination and Tracking Using Infrared Satellite Imagery

Abstract

This paper presents a method to quantitatively measure ocean surface movement, using 10.5 micron band AVHRR images. An ordered statistical edge detection algorithm is used to select thermal pattern features, at the same time discriminating between the water surface, clouds and land. A constrained statistical correlation based recognition scheme is then used to find the best match to the pattern feature in a subsequent image. Study Areas off the Delaware and New Jersey coast were analysed using the method, with results comparing favorably with in situ anchored buoy measurements. All relevent algorithms are included in the paper with key program code included in appendices.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA238138

Entities

People

  • James A. Holland Ii

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Change Detection
  • Coastal Regions
  • Computer Programming
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Electrical Engineering
  • Grids
  • Image Processing
  • New Jersey
  • Pattern Recognition
  • Recognition
  • Remote Sensing
  • Satellite Imaging
  • Sea Surface Temperature
  • Surface Temperature

Readers

  • Atmospheric Remote Sensing.
  • Maritime Security/Maritime Homeland Security
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects