Some Results of Oceanological Video Monitoring

Fishchenko, V. K.; Долгих, Г. И.; Zimin, Petr S.; Subote, A. E.

doi:10.1134/s1028334x18090283

Cited by 4 publications

(4 citation statements)

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“…This complex was developed at the POI FEB RAS by the group of Fishchenko and Goncharova [62][63][64][65] . It is based on the FFTW library and was previously used for various tasks [66][67][68][69][70][71][72] . This technique of comparative Fourier measurements was named correlation-spectral analysis by the authors of the software package themselves.…”

Section: Methodsmentioning

confidence: 99%

From desolvation-induced self-organization on the MALDI anchor target chip surfaces to laser-induced self-organization in MALDI techniques: Correlation-spectral analysis and complex wavelet analysis of tesiographic spots on the anchor chips

Orekhov,

Gradov

2023

Mater. Tech. Rep.

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This article proposes to analyze the formation and “morphogenesis” during desolvation of drops on MALDI targets and target chips using 2D correlation spectral analysis based on the two-dimensional Fourier transform and wavelet spectroscopy methods in the real and imaginary regions. The results of the correlation-spectral and wavelet analysis are shown in the illustrations in the text of the article.

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Section: Methodsmentioning

confidence: 99%

From desolvation-induced self-organization on the MALDI anchor target chip surfaces to laser-induced self-organization in MALDI techniques: Correlation-spectral analysis and complex wavelet analysis of tesiographic spots on the anchor chips

Orekhov,

Gradov

2023

Mater. Tech. Rep.

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“…I have corrected and am sending all Figures (14,18,19,20,21) as well as Figure 16, which had similar errors. At point 1 (the roof of the POI FEB RAS building), up to three stationary and PTZ cameras with a view of the waters of Amurskiy Bay worked at different times.…”

Section: Peter the Great Bay Video Monitoring Systemmentioning

confidence: 99%

“…Since 2015, winter observations of vertical ice movements have been regularly carried out in Alekseev Bay using a summer videowavemeter camera. Some results of summer and winter observations are given in [21]. The main conclusion: practically all systems of sea-level fluctuations that are observed in the summer months are manifested in the signals of fluctuations of the ice surface, from seiche fluctuations of the bay itself (period 4 min 20 s) to tidal diurnal and semidiurnal fluctuations It should be noted that, although the measurements of sea-level fluctuations using the videowavemeter are very consistent with the known experimental and model data [20], direct synchronous observations using alternative sea-level meters and surface waves were not done.…”

Section: Videowavemetersmentioning

confidence: 99%

Express Image and Video Analysis Technology QAVIS: Application in System for Video Monitoring of Peter the Great Bay (Sea of Japan/East Sea)

Fischenko

Goncharova

Долгих

et al. 2021

JMSE

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The article describes the technology of express analysis of images and videos, recorded by coastal video monitoring systems, developed by the authors. Its main feature is its ability to measure or evaluate in real time the signals of sea waves, sea level fluctuations, variations of underwater currents, etc., on video recordings or streaming video from coastal cameras. The real-time mode is achieved due to processing video information read not from files, but from the graphic memory of the screen. Measurements of sea signals can be carried out continuously for a long time, up to several days, with high sampling rate, up to 16 Hz, at several points of the observed water area simultaneously. This potentially allows studying the entire spectrum of wave movements, from short waves with periods of 0.3–0.5 s to multi-day fluctuations at the sea level of a synoptic scale. The paper provides examples of the use of this technology for analyzing images and videos obtained in the network of scientific video monitoring of the Peter the Great Bay (Sea of Japan/East Sea), deployed by the authors.

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“…Камеры по заданному расписанию пересылают в базы данных во Владивостоке моментальные снимки и короткие видео, а также ведут непрерывную видеотрансляцию в сеть ДВО РАН. Разрабатываются различные методики оценивания волнения, течений и колебаний уровня моря, основанные на анализе в реальном времени видеопотоков с камер [8].…”

Section: Development and Approbation In Alekseev Bight (Popov Island)unclassified

Разработка И Апробация В Бухте Алексеева (о. Попова) Технологий Регистрации Волнения и Колебаний Уровня Моря С Использованием Видеоволномеров

Zimin¹,

Fishchenko²,

Subote³

et al. 2019

Сборник Научных Статей По Избранным Материалам XI Всероссийского Симпозиума «Физика Геосфер»

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На Морской экспериментальной станции Бухта Алексеева , расположенной на побережье о. Попова (Амурский залив), с 2012 года проводятся исследования технологий регистрации волнения, подводных течений, колебаний уровня моря с использованием систем дистанционного видеонаблюдения. Установленные на берегу бухты интернеткамеры транслируют видео в сеть ДВО РАН, где в реальном времени производится его обработка с целью получения характеристик волновых процессов. Наиболее точной и эффективной является технология на основе видеоволномеров. Последние представляют собой развернутые в море на дистанциях до 500 м от берега измерительные конструкции с легким контрастным маркером, колеблющимся вертикально под действием волнения и колебаний уровня моря, а также береговой камеры, снимающей сцену с маркером. Программное обеспечение с заданной частотой (до 16 раз в секунду) анализирует кадры видео и регистрирует смещения маркера в пикселах относительно его начального положения. Зная размеры маркера, можно найти масштабный коэффициент для пересчета сигнала волнения h(t) из пикселов в сантиметры или миллиметры. Апробация этой технологии в бухте Алексеева показала, что волномер позволяет регистрировать приливные колебания, сейши, волнение зыби, ветровые волны, корабельные волны, волны ряби. В 20152016 годах были проведены исследования на базе трехточечных видеоволномеров. Последние позволили оценивать не только амплитуду и частоту волн, на также направление и скорость их распространения. Рассмотренные в работе технологии могут быть применены на любых прибрежных акваториях. Ключевые слова: морское волнение, колебания уровня моря, прибрежные зоны, камера видеонаблюдения, видеоволномер, обработка изображений и видео, обработка сигналовAt the Marine Experimental Station Alekseev Bight, located on the coast of Popov Island (Amursky Bay), since 2012, research has been conducted on technologies for recording waves, underwater currents, and sea level fluctuations using remote video surveillance systems. The IP cameras installed on the shore of the bay broadcast the video to the FEB RAS network, where it is processed in real time in order to obtain the characteristics of wave processes. The most accurate and efficient technology is based on videowavemeters. The latter consist of measuring structures deployed at distances of up to 500 m from the coast with a light contrasting marker, which oscillates vertically under the influence of waves and sea level fluctuations, as well as from a coastal camera filming a scene with a marker. Software with a given frequency (up to 16 times per second) analyzes video frames and registers marker displacements in pixels relative to its initial position. Knowing the size of the marker, you can find the scale factor for converting the wave signal h (t) from pixels to centimeters or millimeters. Testing of this technology in the Alekseeva Bay showed that a wave meter allows recording tidal oscillations, seiches, swell waves, wind waves, ship waves and ripple waves. In 20152016, studies were conducted on the basis of threepoint video wave meters. The latter allowed estimating not only the amplitude and frequency of the waves, but also the direction and speed of their propagation. The technologies considered in the work can be applied in any coastal areas. Keywords: sea waves, sea level oscillations, coastal zones, video surveillance camera, videowavemeter, image and video processing, signal processing

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Some Results of Oceanological Video Monitoring

Cited by 4 publications

References 5 publications

From desolvation-induced self-organization on the MALDI anchor target chip surfaces to laser-induced self-organization in MALDI techniques: Correlation-spectral analysis and complex wavelet analysis of tesiographic spots on the anchor chips

From desolvation-induced self-organization on the MALDI anchor target chip surfaces to laser-induced self-organization in MALDI techniques: Correlation-spectral analysis and complex wavelet analysis of tesiographic spots on the anchor chips

Express Image and Video Analysis Technology QAVIS: Application in System for Video Monitoring of Peter the Great Bay (Sea of Japan/East Sea)

Разработка И Апробация В Бухте Алексеева (о. Попова) Технологий Регистрации Волнения и Колебаний Уровня Моря С Использованием Видеоволномеров

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