Germantown, MD, United States of America

Gregory T Koeln


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 32(Granted Patents)


Company Filing History:


Years Active: 1998

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1 patent (USPTO):Explore Patents

Title: Gregory T. Koeln: Innovator in Digital Imagery Processing

Introduction

Gregory T. Koeln is a notable inventor based in Germantown, MD (US). He has made significant contributions to the field of digital imagery processing, particularly through his innovative patent that enhances the analysis of spatial data.

Latest Patents

Koeln holds a patent for a "Process and apparatus for cross-correlating digital imagery." This invention involves a system and method for processing high-resolution data from maps, aerial photographs, and other spatial data alongside low-resolution data. The goal is to accurately identify changes in the studied areas. The system relies on a vectorized database classified according to topographical features. Change is defined by a Z-statistic, which is calculated using a two-pass cross-correlation technique. This technique compares pixel brightnesses to a mean brightness for the typical topographical class and to a standard deviation for that class. The normalized difference values are accumulated across different bands, scaled, and compared to a threshold that defines high, medium, and low change values. Ultimately, a map is automatically produced to illustrate areas of significant change.

Career Highlights

Gregory T. Koeln is associated with Earth Satellite Corporation, where he applies his expertise in digital imagery processing. His work has contributed to advancements in how spatial data is analyzed and interpreted.

Collaborations

One of his notable coworkers is Roger A. Mitchell, with whom he has likely collaborated on various projects within the company.

Conclusion

Gregory T. Koeln's innovative work in digital imagery processing exemplifies the impact of technology on understanding spatial changes. His contributions continue to influence the field and enhance data analysis methodologies.

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