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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 43, Iss. 2 — Jan. 10, 2004
  • pp: 403–415

Target Detection and Recognition Improvements by Use of Spatiotemporal Fusion

Hai-Wen Chen, Surachai Sutha, and Teresa Olson  »View Author Affiliations


Applied Optics, Vol. 43, Issue 2, pp. 403-415 (2004)
http://dx.doi.org/10.1364/AO.43.000403


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Abstract

We developed spatiotemporal fusion techniques for improving target detection and automatic target recognition. We also investigated real IR (infrared) sensor clutter noise. The sensor noise was collected by an IR (256 × 256) sensor looking at various scenes (trees, grass, roads, buildings, etc.). More than 95% of the sensor pixels showed near-stationary sensor clutter noise that was uncorrelated between pixels as well as across time frames. However, in a few pixels (covering the grass near the road) the sensor noise showed nonstationary properties (with increasing or decreasing mean across time frames). The natural noise extracted from the IR sensor, as well as the computer-generated noise with Gaussian and Rayleigh distributions, was used to test and compare different spatiotemporal fusion strategies. Finally, we proposed two advanced detection schemes: the double-thresholding the reverse-thresholding techniques. These techniques may be applied to complicated clutter situations (e.g., very-high clutter or nonstationary clutter situations) where the traditional constant-false-alarm-ratio technique may fail.

© 2004 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
(110.2970) Imaging systems : Image detection systems
(110.4280) Imaging systems : Noise in imaging systems

Citation
Hai-Wen Chen, Surachai Sutha, and Teresa Olson, "Target Detection and Recognition Improvements by Use of Spatiotemporal Fusion," Appl. Opt. 43, 403-415 (2004)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-43-2-403


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References

  1. H.-W. Chen and T. Olson, “Integrated spatiotemporal multiple sensor fusion system design,” in Sensor Fusion: Architectures, Algorithms, and Applications VI, B. V. Dasarathy, ed., Proc. SPIE 4731, 204–215 (2002).
  2. H.-W. Chen and T. Olson, “Adaptive spatiotemporal multiple sensor fusion,” Opt. Eng. 42, 1481–1495 (2003).
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  9. E. Waltz and J. Llinas, Multisensor Data Fusion (Artech House, Norwood, Mass., 1990).
  10. L. A. Klein, Sensor and Data Fusion Concepts and Applications, 2nd ed. (SPIE Press, Bellingham, Wash., 1999).

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