The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 12, 2017

Filed:

Oct. 09, 2015
Applicant:

The Penn State Research Foundation, University Park, PA (US);

Inventors:

James Z. Wang, State College, PA (US);

Yu Zhang, Chicago, IL (US);

Stephen Wistar, Lemont, PA (US);

Michael A. Steinberg, State College, PA (US);

Jia Li, State College, PA (US);

Assignee:

The Penn State Research Foundation, University Park, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01W 1/00 (2006.01); G06K 9/66 (2006.01); G06K 9/46 (2006.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
G06K 9/66 (2013.01); G01W 1/00 (2013.01); G06K 9/0063 (2013.01); G06K 9/00335 (2013.01); G06K 9/46 (2013.01); G06T 7/20 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30192 (2013.01);
Abstract

Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.


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