Invention Grant
- Patent Title: Techniques for ground-level photo geolocation using digital elevation
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Application No.: US13969783Application Date: 2013-08-19
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Publication No.: US09292766B2Publication Date: 2016-03-22
- Inventor: Liangliang Cao , Noel C. F. Codella , Gang Hua , John R. Smith
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Michael J. Chang, LLC
- Agent Nidhi G. Kissoon
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06N5/00 ; G06K9/62 ; G06K9/00

Abstract:
Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers.
Public/Granted literature
- US20140205189A1 Techniques for Ground-Level Photo Geolocation Using Digital Elevation Public/Granted day:2014-07-24
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