An Optical Flow Approach to Tracking Ship Track Behavior Using GOES-R Satellite Imagery

Author:

Larson Kelsie M.1,Shand Lyndsay2ORCID,Staid Andrea3,Gray Skyler4ORCID,Roesler Erika L.1,Lyons Don1

Affiliation:

1. Sandia National Laboratories, Albuquerque, NM, USA

2. University of Illinois Urbana-Champaign and Sandia National Laboratories, Albuquerque, NM, USA

3. Electric Power Research Institute, Washington, DC, USA

4. Sandia National Laboratories and Brigham Young University, Provo, UT, USA

Funder

Laboratory Directed Research and Development

Sandia National Laboratories

National Technology and Engineering Solutions of Sandia, LLC

Honeywell International, Inc.

U.S. Department of Energy's National Nuclear Security Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference55 articles.

1. Cloud tracking with optical flow for short-term solar forecasting;wood-bradley;Proc 50th Annu Conf Australian Sol Energy Soc Australian Sol Council,0

2. Pyramidal implementation of the affine Lucas Kanade feature tracker, description of the algorithm;bouget,2001

3. A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them

4. Optical flow modeling and computation: A survey

5. Determining optical flow

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