Evaluation Of Spatial Filters For Background Suppression In Infrared Mosaic Sensor Systems

T. L. Bergen; P. K. Mazaika

doi:10.1117/12.933715

28 December 1982 Evaluation Of Spatial Filters For Background Suppression In Infrared Mosaic Sensor Systems

T. L. Bergen, P. K. Mazaika

Author Affiliations +

Proceedings Volume 0341, Real-Time Signal Processing V; (1982) https://doi.org/10.1117/12.933715
Event: 1982 Technical Symposium East, 1982, Arlington, United States

Abstract

Spaceborne infrared mosaic sensors have been proposed for future surveillance systems. Because these systems will generate a large volume of data, background suppression will require algorithms which use innovative architectures and minimal storage. This paper analyzes the implementation and performance of candidate temporal and spatial filters. Spatial filters are attractive because they require far less memory, can effectively exploit a parallel, pipelined architecture, and are relatively insensitive to target speed. However, the performance of spatial filtering is substantially worse than that of temporal filtering when the sensor has good line-of-sight stability.

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T. L. Bergen and P. K. Mazaika "Evaluation Of Spatial Filters For Background Suppression In Infrared Mosaic Sensor Systems", Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); https://doi.org/10.1117/12.933715

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