Reduction of radar image redundancy based on Kalman filtering

Authors

  • B. V. Lezhankin Irkutsk Military Aviation Engineering Institute, Russian Federation
  • S. F. Galiev Irkutsk Military Aviation Engineering Institute, Russian Federation

DOI:

https://doi.org/10.3103/S0735272704030021

Abstract

The paper is devoted to synthesis of a new quasioptimal algorithm for reduction of radar image redundancy. The results of computer-aided statistical simulation of the algorithm are presented.

References

ULABY, F.T.; LI, R.Y.; SHANMUGAN, K.S. "Crop classification using airborne radar and landsat data," IEEE Trans. Geosci. Remote Sensing, v.GE-20, n.1, p.42-51, 1982. DOI: https://doi.org/10.1109/TGRS.1982.4307519.

MANSUROV, V.V., MIRONOV, B.M. "Algorithm for redundancy reduction of a radar image," Izv. VUZ. Radioelektronika, v.35, n.4, p.54-58, 1992.

KAZAKOV, I.Y.; ARTEM’YEV, V.M. Optimization of Dynamic Systems of Random Structure [in Russian]. Moscow: Nauka, 1980.

ROZANOV, Y.A. Probability Theory, Random Processes, and Mathematical Statistics. Textbook for Higher School [in Russian]. Moscow: Nauka, 1987.

KLEKIS, E.A. "Optimalnaia filtratciia v sistemakh so sluchainoi strukturoi i diskretnym vremenem," Avtomatika i Telemekhanika, n.11, p.61-70, 1987.

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Published

2004-03-02

Issue

Vol. 47 No. 3 (2004): Military Radioelectronic Technologies

Section

Research Articles