Abstract: Described herein is a method and system for flexible, high performance structured data processing. The method and system contains techniques for balancing and jointly optimising processing speed, resource utilisation, flexibility, scalability, and configurability in one workflow. A prime example of its application is the analysis of spatial data, e.g. LiDAR and imagery. However, the invention is applicable to a wide range of structured data problems in a variety of dimensions and settings.
Type:
Grant
Filed:
June 23, 2017
Date of Patent:
April 5, 2022
Assignee:
Anditi Pty, Ltd.
Inventors:
Andrew Goodwin, Patrick Poissant, Shaileshkumar Lathiya, Peter Jamieson, Stephen Craig
Abstract: Described herein is a method and system for flexible, high performance structured data processing. The method and system contains techniques for balancing and jointly optimising processing speed, resource utilisation, flexibility, scalability, and configurability in one workflow. A prime example of its application is the analysis of spatial data, e.g. LiDAR and imagery. However, the invention is applicable to a wide range of structured data problems in a variety of dimensions and settings.
Type:
Application
Filed:
June 23, 2017
Publication date:
June 6, 2019
Applicant:
Anditi Pty, Ltd.
Inventors:
Andrew Goodwin, Patrick Poissant, Shaileshkumar Lathiya, Peter Jamieson, Stephen Craig
Abstract: A method for detection of on-ground or near-ground discrete objects having characteristic features from terrain height data characterizing a search area comprising the steps of: processing the terrain height data to form a regular grid containing elevation and slope data at each grid point; and analyzing said gridded terrain height data to identify said on-ground or near-ground discrete objects within said search area.
Type:
Grant
Filed:
September 20, 2013
Date of Patent:
December 27, 2016
Assignee:
Anditi Pty Ltd
Inventors:
Andrew Goodwin, Peter Jamieson, Jennifer Pengilly, Patrick Poissant, Stephen Swabey
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