Washington, DC, United States of America

Christopher Burd


Average Co-Inventor Count = 6.0

ph-index = 3

Forward Citations = 77(Granted Patents)


Company Filing History:


Years Active: 2017-2020

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3 patents (USPTO):Explore Patents

Title: Innovations of Christopher Burd in Geospatial Object Detection

Introduction

Christopher Burd is an accomplished inventor based in Washington, DC. He has made significant contributions to the field of geospatial object detection, holding a total of 3 patents. His work focuses on synthesizing training data to enhance the recognition and classification of geospatial objects.

Latest Patents

One of Christopher Burd's latest patents involves a system for broad area geospatial object recognition, identification, classification, location, and quantification. This innovative system includes an image manipulation module that creates synthetically-generated images to imitate and augment existing orthorectified geospatial images. Additionally, it features a deep learning module and a convolutional neural network that serve as an image analysis module. This technology analyzes a large corpus of orthorectified geospatial images, identifies and demarcates searched objects of interest, and locates and quantifies the identified or classified objects. The system is designed to report results in a requestor's preferred format.

Career Highlights

Christopher Burd is currently employed at DigitalGlobe, Incorporated, where he continues to develop cutting-edge technologies in geospatial analysis. His expertise in image manipulation and deep learning has positioned him as a leader in the field.

Collaborations

Throughout his career, Christopher has collaborated with talented individuals such as Adam Estrada and Andrew Jenkins. These partnerships have contributed to the advancement of his innovative projects.

Conclusion

Christopher Burd's work in geospatial object detection exemplifies the impact of innovation in technology. His patents and contributions continue to shape the future of geospatial analysis and recognition.

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