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.
Patent No.:
Date of Patent:
Mar. 13, 2018
Filed:
Jun. 18, 2013
The University of Sydney, New South Wales, AU;
Katherine Lee Silversides, Glenmore Park, AU;
Arman Melkumyan, Lane Cove North, AU;
Derek Wyman, Glebe, AU;
Peter James Hatherly, Lavender Bay, AU;
The University of Sydney, New South Wales, AU;
Abstract
Described herein is a computer implemented method for generating a probabilistic model usable to identify instances of a target feature in geophysical data sets stored on a memory device. The computer implemented method using a computer processing unit to generate a probabilistic model from a training library for use in identifying instances of the target feature in the geophysical data sets, applying, using the computer processing unit, the probabilistic model to one or more of the geophysical data sets to generate a plurality of results, processing, using the computer processing unit, the set of results according to an acceptability criteria in order to identify a plurality of candidate results, receiving a selection of one or more of the candidate results and for the or each selected candidate result displaying on a display the result and its associated geophysical data set to assist a user in making an assessment as to whether or not the probabilistic model is an acceptable model for the processing of the geophysical data sets, receiving from a user an assessment as to whether or not the probabilistic model is an acceptable model; and if the assessment received indicates the probabilistic model is an acceptable model for processing the geophysical data, outputting the probabilistic model and/or the training library.