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2019 | OriginalPaper | Chapter

The Terrain’s Discrimination Criterion for the Lengthened Objects Identification

Authors : Artem K. Sorokin, Vladimir G. Vazhenin

Published in: Advances in Signal Processing and Communication

Publisher: Springer Singapore

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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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Metadata
Title
The Terrain’s Discrimination Criterion for the Lengthened Objects Identification
Authors
Artem K. Sorokin
Vladimir G. Vazhenin
Copyright Year
2019
Publisher
Springer Singapore
Book
Advances in Signal Processing and Communication

Print ISBN: 978-981-13-2552-6

Electronic ISBN: 978-981-13-2553-3

Copyright Year: 2019

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