Mark W Wolboldt

Title: Mark W Wolboldt: Innovator in Hyper-Spectral Target Detection

Introduction

Mark W Wolboldt is a notable inventor based in Monument, Colorado. He has made significant contributions to the field of hyper-spectral imaging and target detection. His innovative work has led to the development of advanced techniques that enhance the accuracy of target recognition.

Latest Patents

Mark W Wolboldt holds a patent for an "Advanced background estimation technique and circuit for a hyper-spectral target detection method." This patent describes a system, circuit, and methods for detecting targets from hyper-spectral image data. The invention utilizes a modified constrained energy minimization (CEM) method to determine filter coefficients. This method operates on a circuit capable of performing constrained linear programming optimization. A filter, comprising the determined coefficients, is applied to multiple pixels of hyper-spectral image data to generate CEM values. From these values, one or more target pixels are identified. The process can be repeated to improve target recognition by using filter coefficients that exclude previously identified target pixels.

Career Highlights

Mark W Wolboldt is associated with The Boeing Company, where he applies his expertise in hyper-spectral imaging. His work at Boeing has allowed him to contribute to advancements in aerospace technology and target detection systems.

Collaborations

Mark has collaborated with notable colleagues, including Roy M Matic and David Roderick Gerwe. These collaborations have fostered innovation and development in their respective fields.

Conclusion

Mark W Wolboldt's contributions to hyper-spectral target detection exemplify the impact of innovative thinking in technology. His patent and work at The Boeing Company highlight his role as a key inventor in this specialized area.