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Parallel algorithms for automatic target recognition using Co2 laser radar images

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2 Author(s)
Sullivan, D.J. ; Martin Marietta Electron. Syst., Orlando, FL, USA ; Forman, A., Jr.

A parallel implementation of algorithms to achieve viewpoint invariant target recognition from laser radar images is described. The active/passive CO2 laser radar sensor used provides pixel-registered thermal, visual, relative range and artifacts and detects edges. Viewpoint invariance obtained using the translation invariant property of the Fourier transform transforms 2-D rotations and scale changes into translations. This scene representation provides 2-D viewpoint invariance and is used as input to a neural network that has been trained to recognize representative views of the targets of interest. The system is implemented on the Geometric Arithmetic Parallel Processor (GAPP), a massively parallel single-instruction-multiple-data (SIMD) computer that contains a 216×384 array of processing elements. Results obtained by processing real lasers radar images are presented

Published in:

Multidimensional Signal Processing Workshop, 1989., Sixth

Date of Conference:

6-8 Sep 1989