Abstract
Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation. Results obtained via image analysis are correlated to non-spatial information. For example, images of regions of interest of the Earth are used for competitive intelligence. Competitive Intelligence (CI) entails the collection and interpretation of information about products, customers, and competitors to gain perspective on changing market conditions and inform the corporate strategic decision making process. The sources of relevant information that support competitive intelligence objectives are typically difficult and time consuming to obtain and produce, particularly outside the developed world. Imagery and derived information delivered as described herein has the potential to address existing data access and timeliness challenges, and provide the information about global locations an enterprise needs to understand the competitive marketplace and develop business strategies accordingly. Keywords associated with the present disclosure include: image acquisition, satellite imagery drone imagery, competitive intelligence.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wood, Matthew; Dunagan, Patrick; Clark, John; Bohl, Kristina; and Gonzalez, David, "IMAGE ACQUISTION AND PROCESSING FOR COMPETITIVE INTELLIGENCE", Technical Disclosure Commons, (August 24, 2016)
https://www.tdcommons.org/dpubs_series/244