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A variation on the Hough technique for the detection of lines in digital imagery is presented.The proposed parameterization of the Hough space fully exploits the available image resolution. Results are presented illustrating the utility of the approach for finding roads in aerial FLIR (forward -looking infrared) imagery. Finally, a parallel implementation of the algorithm is outlined.

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This paper describes two techniques for automatic recognition of surface targets from an airborne platform using an imaging laser radar sensor. The first technique rotates a three-dimensional model of the target in real time to enable a generalized Hough transform to match the ladar image to the target's key discriminating features as a basis for target identification. The second technique uses a variation on minimum average correlation energy filters to perform robust target identification. Examples illustrating the application of these algorithms are presented, along with a description of a real-time implementation of the critical parts of the algorithms on a 40,000-processor systolic array based on the Geometric Arithmetic Parallel Processor (GAPP) chip.

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