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The Terrain’s Discrimination Criterion for the Lengthened Objects Identification

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Advances in Signal Processing and Communication

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 526))

Abstract

This paper devoted to the criterion for terrain’s discrimination. The proposed criterion is useful for airborne unmanned vehicle’s position correction. The criterion is based on the comparison of probability densities, one of them is the reference density and another is the current density. Further it is evaluated the probability of densities intersection. At the next stage it is compared the probabilities for different references, so it was chosen the reference with the largest probability. Then it is described the application of this criterion for the lengthened objects’ identification. At last, this criterion is compared with the Kolmogorov–Smirnov’s criterion to reveal its strong and weak properties.

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Acknowledgements

The research was executed by the grant of the Ministry of education and science of the Russian Federation (project № 8.2538.2017/PCh).

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Correspondence to Artem K. Sorokin .

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Sorokin, A.K., Vazhenin, V.G. (2019). The Terrain’s Discrimination Criterion for the Lengthened Objects Identification. In: Rawat, B., Trivedi, A., Manhas, S., Karwal, V. (eds) Advances in Signal Processing and Communication . Lecture Notes in Electrical Engineering, vol 526. Springer, Singapore. https://doi.org/10.1007/978-981-13-2553-3_20

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  • DOI: https://doi.org/10.1007/978-981-13-2553-3_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2552-6

  • Online ISBN: 978-981-13-2553-3

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