The Statistical Approach for Overcoming the Sensor Saturation Effect in Passive Ranging

Authors

  • S. T. Mitrović University of Defence, Military Academy in Belgrade, Serbia
  • B. P. Bondžulić University of Defence, Military Academy in Belgrade, Serbia
  • M. S. Andrić University of Defence, Military Academy in Belgrade, Serbia
  • Ž. P. Barbarić State University of Novi Pazar, Novi Pazar, Serbia

DOI:

https://doi.org/10.5755/j01.eee.20.2.3788

Keywords:

Infrared image sensors, image sequence analysis, grey level intensity, intensity saturation, parameter estimation, statistical analysis

Abstract

Grey level intensity distribution on thermal infrared images is estimated in this research. General Pareto distribution describes grey level distribution better than other considered statistics. Error of passive ranging distance estimation based on intensity method is too large at short distance, because grey level of imaging sensor is saturated. Suggested modification has a great application in compensation of the effect of sensor saturation. Experiment on real saturated infrared sequence demonstrates that distance estimation error of suggested approach increases around three times slower compared to the conventional intensity based approach.

DOI: http://dx.doi.org/10.5755/j01.eee.20.2.3788

Author Biography

S. T. Mitrović, University of Defence, Military Academy in Belgrade, Serbia

Department of Military Electrical Engineering

Head of the Section of Electrical Engineering and Electronics

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Published

2014-01-28

How to Cite

Mitrović, S. T., Bondžulić, B. P., Andrić, M. S., & Barbarić, Ž. P. (2014). The Statistical Approach for Overcoming the Sensor Saturation Effect in Passive Ranging. Elektronika Ir Elektrotechnika, 20(2), 52-57. https://doi.org/10.5755/j01.eee.20.2.3788

Issue

Vol. 20 No. 2 (2014)

Section

SIGNAL TECHNOLOGY

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