Abstract: A method, apparatus and program product are provided for simplifying electro-optical imaging data. Spectral/temporal data is received. The spectral/temporal data is formulated into a vector/matrix. Feature extraction analysis is performed. At least two largest principal components are determined from the feature extraction analysis. A cluster diagram is created from the at least two largest principal components. A distance metric is evaluated from the cluster diagram. And, a largest metric is selected based on the distance metric.

Abstract: A method, apparatus and program product are provided for simplifying electro-optical imaging data. Spectral/temporal data is received. The spectral/temporal data is formulated into a vector/matrix. Feature extraction analysis is performed. At least two largest principal components are determined from the feature extraction analysis. A cluster diagram is created from the at least two largest principal components. A distance metric is evaluated from the cluster diagram. And, a largest metric is selected based on the distance metric.

Abstract: Plateau Equalization (PE), automatically optimizes, tracks changes in luminance, and adjusts in real time the display of wide dynamic range imagery from infrared cameras. The PE approach includes an automated contrast control system which uses an infrared camera, a microprocessor, and an 8 bit monitor to display the IR scenes with automatic control of the contrast of the IR data. This system allows 8 bit monitors to be used with 12 bit cameras. The camera acquires IR data which is digitized for the microprocessor. The microprocessor processes the IR data with a plateau equalization program to output digital IR data for the monitor with controlled contrast. The monitor displays the output of the microprocessor. Plateau Equalization occurs as peaks in infrared data are cut off into an assigned plateau value so that the display allocation emphasizes smaller features of interest in the scene and remains immune to flicker noise.