SYSTEM AND METHOD FOR HYPER-SPECTRAL ANALYSIS

Patent №

US 7,219,086

Granted

2007-05-15

Filed 2005

Owner

PLAIN SIGHT SYSTEMS, INC.

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11075257

A hyper-spectral analysis method for characterizing or distinguishing diverse elements within hyper-spectral images. A plurality of patches of pixels from within the hyper-spectral images are extracted as being patches around pixels of the elements to be characterized or distinguished. The statistics of spectra for each patch of pixels are computed. A first classifier is computed from frequency-wise standard deviation of the spectra in each patch and a set of second classifiers are computed from principal components of the spectral in each patch. A combined classifier is computed based on the output of the first classifier and at least one of the second classifiers. The elements are characterized or distinguished based on the output of at least one of the classifiers, preferably the combined classifier.

Machine learningVisionG01J 3/02G01J 3/0208G01J 3/021G01J 3/0218G01J 3/10G01J 3/28G01J 3/2823G01J 3/36+2 more

AI classification

Vision1.00
Machine learning1.00
AI hardware0.19
Knowledge representation0.00
Natural language0.00
Evolutionary computation0.00
Planning0.00
Speech0.00

Ownership

PLAIN SIGHT SYSTEMS, INC.

assignment · 163070667

Assignors

GESHWIND, FRANK, COIFMAN, RONALD R., COPPI, ANDREAS C., DAVIS, GUSTAVE L., DEVERSE, RICHARD A., FATELEY, WILLIAM G., WARNER, FREDERICK J.

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC