Invention Grant
- Patent Title: Target identification in large image data
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Application No.: US16586465Application Date: 2019-09-27
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Publication No.: US11468266B2Publication Date: 2022-10-11
- Inventor: Jonathan Goldstein , Stephen J. Raif , Philip A. Sallee , Jeffrey S. Klein , Steven A. Israel , Franklin Tanner , Shane A. Zabel , James Talamonti , Lisa A. Mccoy
- Applicant: Raytheon Company
- Applicant Address: US MA Waltham
- Assignee: Raytheon Company
- Current Assignee: Raytheon Company
- Current Assignee Address: US MA Waltham
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06V10/24 ; G06V30/24

Abstract:
A machine receives a large image having large image dimensions that exceed memory threshold dimensions. The large image includes metadata. The machine adjusts an orientation and a scaling of the large image based on the metadata. The machine divides the large image into a plurality of image tiles, each image tile having tile dimensions smaller than or equal to the memory threshold dimensions. The machine provides the plurality of image tiles to an artificial neural network. The machine identifies, using the artificial neural network, at least a portion of the target in at least one image tile. The machine identifies the target in the large image based on at least the portion of the target being identified in at least one image tile.
Public/Granted literature
- US20210097344A1 TARGET IDENTIFICATION IN LARGE IMAGE DATA Public/Granted day:2021-04-01
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