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Proceedings Paper

Space Surveillance Signal Processor (S3P) For Background Suppression And Target Detection With A Staring Mosaic Sensor
Author(s): Robert G. Otto; David D. Kemp; Manfred Hilsenrath; B.Solomon Golosman
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Paper Abstract

This paper presents a description and some preliminary results of a modular, flexible signal processor bread-board which is used to evaluate the practical performance of spatial and temporal algorithms to reduce background clutter for onboard surveillance applications where data compression is mandatory. At present, the breadboard treats the target detection process by implementing several temporal and spatial filters which operate on both real sensor data and pseudoscenes. The S3P processes frames of mosaic sensor data with 32x32, 64x64, and 128x128 pixels at frame rates up to 100 fps. The operations performed in S 3P with hardware and an Intel 8086 micropro-cessor include (1) preprocessing; (2) frame registration and interpolation; (3) classical first-, second-, and third-order differencing; (4) nonrecursive temporal filter with updated optimal statistical coefficients; (5) band-pass recursive temporal filters; and (6) 3x3 spatial filter using an optimal set of coefficients chosen to minimize the mean-square noise. The breadboard achieves its flexibility through modularity and a bus /pipeline architecture and, hence, serves as a testbed for new algorithms. Preliminary results for the nonrecursive temporal filter will be presented for selected input scenes. It is seen that accuracy and arithmetic format are important in achieving good performance.

Paper Details

Date Published: 24 December 1980
PDF: 9 pages
Proc. SPIE 0241, Real-Time Signal Processing III, (24 December 1980); doi: 10.1117/12.959223
Show Author Affiliations
Robert G. Otto, Lockheed Palo Alto Research Laboratory (United States)
David D. Kemp, Lockheed Palo Alto Research Laboratory (United States)
Manfred Hilsenrath, Lockheed Palo Alto Research Laboratory (United States)
B.Solomon Golosman, Lockheed Palo Alto Research Laboratory (United States)


Published in SPIE Proceedings Vol. 0241:
Real-Time Signal Processing III
Tien F. Tao, Editor(s)

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