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Proceedings Paper • new

Combining images near-infrared and visible data from cameras UAV
Author(s): E. A. Semenishchev; V. V. Voronin; A. A. Zelensky
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Paper Abstract

The publication deals with the problem of obtaining the boundaries of objects in images of the near-infrared range. It is difficult for a person to correlate information the IR images with the observed objects. Actual is the task of combining information from all cameras to highlight the stable signs of objects located in the frame. The proposed algorithm implements step-by-step data processing including preprocessing, superresolution, searching for object boundaries and base points in different optical ranges, searching for correspondences between them, transferring object boundaries from stationary system images to mobile monitoring system images. The test data we used video shooting from developed UAV. A group of fixed optical cameras (visible spectrum) and data in the near-infrared spectrum are used as the optical system. The cameras used in our UAV have a low optical resolution (800×600 near-infrared spectrum, 1600×1200 visible range).

Paper Details

Date Published: 29 May 2019
PDF: 6 pages
Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109861Z (29 May 2019); doi: 10.1117/12.2519538
Show Author Affiliations
E. A. Semenishchev, Moscow State Univ. of Technology "Stankin" (Russian Federation)
Don State Technical Univ. (Russian Federation)
V. V. Voronin, Moscow State Univ. of Technology "Stankin" (Russian Federation)
Don State Technical Univ. (Russian Federation)
A. A. Zelensky, Moscow State Univ. of Technology “Stankin“ (Russian Federation)


Published in SPIE Proceedings Vol. 10986:
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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