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High-Performance Registration of Sea-Wave Spatial Spectra during the Operational Space Monitoring of Vast Water Areas

  • METHODS AND TOOLS FOR SPACE DATA PROCESSING AND INTERPRETATION
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Abstract

In this paper, we describe high-performance methods for recording sea-surface spectra from space images for solving problems of operational oceanography. Algorithms and research software that implement methods for the operational recovery of the characteristics of the sea surface from space images are developed. These algorithms are tested and their performance are estimated using experimental data. The research software is designed to operate with multicore processors. Based on numerical experiments, the software was found to perform within a 1% error spectra reconstruction of slopes and elevations of the sea surface using the high-performance methods that are developed. Computational experiments demonstrated a significant increase in the performance of registering the spectra of slopes and elevations of the sea surface from the spectra of space images due to the parallelization of computations: by 5 times using only the central processor of a standard desktop computer and by more than 12 times using a graphics processor with CUDA technology. Examples of the application of the developed algorithms for monitoring the vast waters of the Black Sea and the Pacific Ocean are given.

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Funding

This work was supported by the Ministry of Science and Higher Education of Russia, project no. RFMEFI60719X0306.

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Authors and Affiliations

  1. Research Institute of Aerospace Monitoring AEROCOSMOS, 105064, Moscow, Russia

    V. E. Vorobyev, A. B. Murynin & K. S. Khachatryan

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  1. V. E. Vorobyev
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  2. A. B. Murynin
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  3. K. S. Khachatryan
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Correspondence to V. E. Vorobyev.

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Translated by A. Ivanov

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Vorobyev, V.E., Murynin, A.B. & Khachatryan, K.S. High-Performance Registration of Sea-Wave Spatial Spectra during the Operational Space Monitoring of Vast Water Areas. Izv. Atmos. Ocean. Phys. 56, 1159–1167 (2020). https://doi.org/10.1134/S0001433820090248

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