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.
AI classification
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.