Company Filing History:
Years Active: 2007-2009
Title: Gustave L. Davis: Innovator in Hyper-Spectral Analysis
Introduction
Gustave L. Davis is a notable inventor based in Orange, CT (US). He has made significant contributions to the field of hyper-spectral analysis, holding 2 patents that showcase his innovative approach to tissue classification and image analysis.
Latest Patents
Davis's latest patents include a "System and method for hyper-spectral analysis," which presents an improved method for classifying tissue samples. This method involves determining a tissue type classification based on spectral data from training samples of known target classification. Denoised spectral data is generated from the spectral data based on the tissue type classification, and a classifier is trained using this denoised data to classify the tissue samples. Another patent, also titled "System and method for hyper-spectral analysis," focuses on characterizing or distinguishing diverse elements within hyper-spectral images. This method extracts patches of pixels from hyper-spectral images and computes the statistics of spectra for each patch. A first classifier is computed from the frequency-wise standard deviation of the spectra, while a set of second classifiers is derived from the principal components of the spectral data. A combined classifier is then computed based on the outputs of these classifiers to effectively characterize or distinguish the elements.
Career Highlights
Davis is currently associated with Plain Sight Systems, Inc., where he applies his expertise in hyper-spectral analysis. His work has significantly advanced the understanding and application of this technology in various fields.
Collaborations
Davis has collaborated with notable colleagues such as Frank Geshwind and Ronald R. Coifman, contributing to the development of innovative solutions in hyper-spectral analysis.
Conclusion
Gustave L. Davis stands out as an influential inventor in the realm of hyper-spectral analysis, with his patents reflecting a commitment to advancing technology in this field. His contributions continue to impact various applications, showcasing the importance of innovation in scientific research.