Tracking and Predicting Fine Scale Sea Ice Motion by Constructing Super-Resolution Images and Fusing Multiple Satellite Sensors

Abstract

Tracking and predicting the fine scale sea ice motion will be particularly critical to safe Navy operations in the Arctic Ocean. It is also very important to monitor and track the size, shape, and location of sea ice in near real-time (within several hours of data acquisition), and predict the motion of sea ice for ice hazard forecasts in a finer scale than is currently possible. The log-term goal of this project is to explore new algorithms for the purpose of constructing and analyzing super-resolution images from multiple satellite sensors for automatic tracking and prediction of fine scale sea ice motion in Arctic Ocean. The objective of our proposal is to: 1) construct super-resolution images from satellite sensors which will significantly improve the tracking of sea ice motion from a coarse scale to a finer scale; and 2) implement data fusion methods to combine data from passive microwave and other satellite sensors to produce more accurate tracking and prediction of sea ice motion.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA605132

Entities

People

  • Walter N. Meier
  • William S. Weiss
  • Zisis I. Petrou

Organizations

  • Naval Undersea Warfare Center

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Arctic Ocean
  • Artificial Satellites
  • Automatic Tracking
  • Beaufort Sea
  • Chukchi Sea
  • Data Acquisition
  • Detectors
  • Electrical Engineering
  • Engineering
  • Ice
  • Microwave Detectors
  • New York
  • Oceans
  • Regions
  • Sea Ice

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects