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Proceedings Paper

Image analysis in unmanned aerial vehicle on-board system for objects detection and recognition with the help of energy characteristics based on wavelet transform
Author(s): M. P. Shleymovich; M. V. Medvedev; S. A. Lyasheva
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Paper Abstract

In this article the problem of image analysis in unmanned aerial vehicle on-board system for objects detection and recognition with the help of energy characteristics based on wavelet transform is described. The approach of salient points extraction based on wavelet transform is proposed. The salience of the points is substantiated with the energy estimates of their weights. On the basis of wavelet transform salient points extraction the method of image contour segmentation is proposed. For further image recognition the salient points descriptors constructed with the help of wavelet transform are used. The objects detection and recognition system for unmanned aerial vehicles based on proposed methods is simulated using the simulation platform.

Paper Details

Date Published: 6 April 2017
PDF: 11 pages
Proc. SPIE 10342, Optical Technologies for Telecommunications 2016, 1034210 (6 April 2017); doi: 10.1117/12.2270141
Show Author Affiliations
M. P. Shleymovich, Kazan National Research Technical Univ. named after A.N. Tupolev (Russian Federation)
M. V. Medvedev, Kazan National Research Technical Univ. named after A.N. Tupolev (Russian Federation)
S. A. Lyasheva, Kazan National Research Technical Univ. named after A.N. Tupolev (Russian Federation)


Published in SPIE Proceedings Vol. 10342:
Optical Technologies for Telecommunications 2016
Vladimir A. Andreev; Anton V. Bourdine; Vladimir A. Burdin; Oleg G. Morozov; Albert H. Sultanov, Editor(s)

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