OSIRRUS: Oceanic Symbolic Image Representation, Recognition and Understanding Software

Abstract

Detection and proper labeling of oceanic mesoscale features in remotely sensed data is a mission of NOARL's Ocean Science Directorate. Automated identification of eddy rings and Gulf Stream walls (two oceanic mesoscale features of specific interest) in infrared satellite imagery using isotherm shape identification is a viable approach. This report presents the completion of work done on eddy ring detection using shape identification and statistical analysis on detection features to reduce false alarms. An eddy ring is a large parcel of circulating ocean water, created from detached ocean stream undulations, having a trapped core of water whose temperature is markedly different from its surrounding water. Warm eddy rings have warm cores, and cold eddy rings have cold cores. Oceanic Symbolic Image Representation, Recognition and Understanding Software (OSIRRUS) converts imagery to a symbolic form in the sense that data converted to a list of contiguous pixel points representing a contour of constant temperature on a thermal topology, which is termed an isotherm. Ideally, isotherms form characteristic shapes that envelop mesoscale features, such as eddy rings. Shapes identifying potential areas of interest are analyzed with an additional temperature profile to confirm eddy ring detection and provide automatically extracted measurements useful to a mission specialist.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA244456

Entities

People

  • Lee A. Atkinson

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Contracts
  • Databases
  • Detection
  • Detectors
  • Equations
  • False Alarms
  • Filters
  • Gulf Stream
  • High Level Language Architecture
  • Identification
  • Isotherms
  • Modulation
  • Recognition
  • Satellite Imaging
  • Statistical Analysis
  • Warning Systems

Fields of Study

  • Environmental science

Readers

  • Computer Vision.
  • Oceanography.

Technology Areas

  • Space
  • Space - Space Objects