Algorithm for increasing the discriminability of sections of vortex structures and wind flows recorded by radio frequency stations using Doppler effect analysis

Evgenii Semenishchev; Aleksandr Zelensky; Marina Zhdanova; Nikolay Gapon; Aleksandr Gavlicky; Viacheslav Voronin

doi:10.1117/12.2641156

7 December 2022 Algorithm for increasing the discriminability of sections of vortex structures and wind flows recorded by radio frequency stations using Doppler effect analysis

Evgenii Semenishchev, Aleksandr Zelensky, Marina Zhdanova, Nikolay Gapon, Aleksandr Gavlicky, Viacheslav Voronin

Author Affiliations +

Proceedings Volume 12274, Emerging Imaging and Sensing Technologies for Security and Defence VII; 122741B (2022) https://doi.org/10.1117/12.2641156
Event: SPIE Security + Defence, 2022, Berlin, Germany

Abstract

The article proposes a fusion technique and an algorithm for combining images recorded in the IR and visible spectrum in relation to the problem of processing products by robotic complexes in dust and fog. Primary data processing is based on the use of a multi-criteria processing criterion with complex data analysis and cross-change of the filtration coefficient for different types of data. The search for base points is based on the application of the technique of reducing the range of clusters (image simplification) and searching for transition boundaries using the approach of determining the slope of the function in local areas. As test data used to evaluate the effectiveness, pairs of test images obtained by sensors with a resolution of 1024x768 (8-bit, color image, visible range) and 1024x768 (8 bit, color, IR image) are used. Images of simple shapes are used as analyzed objects.

Citation Download Citation

Evgenii Semenishchev, Aleksandr Zelensky, Marina Zhdanova, Nikolay Gapon, Aleksandr Gavlicky, and Viacheslav Voronin "Algorithm for increasing the discriminability of sections of vortex structures and wind flows recorded by radio frequency stations using Doppler effect analysis", Proc. SPIE 12274, Emerging Imaging and Sensing Technologies for Security and Defence VII, 122741B (7 December 2022); https://doi.org/10.1117/12.2641156

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