Abstract: A method of quantifying computer vision algorithm performance. The method includes receiving a first image and a second image from an imaging system. Each of the first and second images is characterized by an image intensity value. Iteratively, an evaluation value of a noise profile is applies to the first and second images to form respective first and second composite images, and algorithm performance using the first and second composite images is measured. The measured performances are compared and an operational range of the algorithm determined. The noise profile includes at least one source of noise inherent to the imaging system.

Abstract: An information theoretic method for testing and/or validating the suitability of a multi-radar signature database to be used on radar systems having automatic target recognition. The database may include measured data and/or modeled synthetic data. The technique allows measured data to be compared to the synthetic data using modal mutual information. The present invention further includes an information theoretic method for real time calculation of automatic target recognition using modal mutual information calculation.