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:
Oct. 14, 2025

Filed:

Sep. 29, 2021
Applicant:

Rafael Advanced Defense Systems Ltd., Haifa, IL;

Inventor:

Natan Peterfreund, Kiryat Tivon, IL;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); G06F 18/2415 (2023.01); G06V 10/40 (2022.01); G06V 10/74 (2022.01); G06V 10/764 (2022.01); G06V 10/766 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01); G06V 20/17 (2022.01);
U.S. Cl.
CPC ...
G06T 7/74 (2017.01); G06F 18/2415 (2023.01); G06V 10/40 (2022.01); G06V 10/761 (2022.01); G06V 10/764 (2022.01); G06V 10/766 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01); G06V 20/17 (2022.01); G06T 2207/10032 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A computer-implemented method for processing a geo-location of an aerial platform, comprises: (a) providing a set of classification stages, which is trained end-to-end to provide a set of cascade decisions, wherein each cascade decision is optimized for a different classification modality and for different spatial resolution; (b) receiving a geo-location query comprising an aerial sensor image, a reference bird's eye view image-map with coordinate system and sensor pose angles measures with respect to the coordinate system; (c) projecting the aerial sensor image onto the coordinate system of the reference image-map using the pose angles measures; (d) matching between the projected sensor image and corresponding image patches in the reference satellite image-map, by applying said set of classification stages in accordance with features extraction from said images and similarity criteria; (e) generating a cascade sequencing, wherein a classification score is aggregated along a cascade path among said set of cascade stages; (f) generating a cascade decision at each stage along the cascade path based on the aggregated classification score and on defined decision logic between successive stages; (g) retrieving a geo-location associated with said aggregated classification decision; and (h) sending the retrieved geo-location to a geo-location requester.


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