Milton, WI, United States of America

Thomas C Jeffery

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2017-2020

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2 patents (USPTO):Explore Patents

Title: Thomas C. Jeffery: Innovator in Building Footprint Extraction Technology

Introduction

Thomas C. Jeffery is a notable inventor based in Milton, WI (US). He has made significant contributions to the field of technology with a focus on building footprint extraction. With a total of 2 patents, his work has advanced the methods used to analyze real property data.

Latest Patents

Jeffery's latest patents include a groundbreaking system, method, and computer program product designed to extract building footprints from various data associated with properties. This innovative technology utilizes imagery data of real property, which contains multiple parcels. A processing circuit is employed to detect contrasts of candidate man-made structures on these parcels. By distinguishing man-made structures from natural terrain, the system effectively extracts building footprints. The technology recognizes that man-made structures, when viewed from above, typically exhibit a strong contrast against the background terrain. Furthermore, the system removes remaining candidate structures that do not align with predetermined extraction logic.

Career Highlights

Throughout his career, Thomas C. Jeffery has been associated with CoreLogic Solutions, LLC, where he has further developed his expertise in property data analysis. His work has been instrumental in enhancing the accuracy and efficiency of building footprint extraction processes.

Collaborations

Jeffery has collaborated with notable colleagues, including Wei Du and Howard A. Botts, contributing to the advancement of technology in his field.

Conclusion

Thomas C. Jeffery's innovative work in building footprint extraction technology has made a significant impact on the industry. His patents and contributions continue to shape the future of property data analysis.

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