A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface

Tsunamis are some of the most destructive natural disasters. Some proposed tsunami measurement and arrival prediction systems use a limited number of instruments, then judge the occurrence of the tsunami, forecast its arrival time, location and scale. Since there are a limited number of measurement...

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Autores principales:	Ying Yang, Cunwei Lu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	tsunami measurement stereo matching feature vector leaning cost volume Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/ebd45d2f6fb940ed9f0713ee74398fcd
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id	oai:doaj.org-article:ebd45d2f6fb940ed9f0713ee74398fcd
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spelling	oai:doaj.org-article:ebd45d2f6fb940ed9f0713ee74398fcd2021-11-25T18:05:03ZA Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface10.3390/jmse91112812077-1312https://doaj.org/article/ebd45d2f6fb940ed9f0713ee74398fcd2021-11-01T00:00:00Zhttps://www.mdpi.com/2077-1312/9/11/1281https://doaj.org/toc/2077-1312Tsunamis are some of the most destructive natural disasters. Some proposed tsunami measurement and arrival prediction systems use a limited number of instruments, then judge the occurrence of the tsunami, forecast its arrival time, location and scale. Since there are a limited number of measurement instruments, there is a possibility that large prediction errors will occur. In order to solve this problem, a long-distance tsunami measurement system based on the binocular stereo vision principle is proposed in this paper. The measuring range is 4–20 km away from the system deployment site. In this paper, we will focus on describing the stereo matching method for the proposed system. This paper proposes a two-step matching method. It first performs fast sparse matching, and then complete high precision dense matching based on the results of the sparse matching. A matching descriptor based on the physical features of sea waves is proposed to solve the matching difficulty caused by the similarity of sea surface image textures. The relationship between disparity and the <i>y</i> coordinate is built to reduce the matching search range. Experiments were conducted on sea surface images with different shooting times and distances; the results verify the effectiveness of the presented method.Ying YangCunwei LuMDPI AGarticletsunami measurementstereo matchingfeature vectorleaning cost volumeNaval architecture. Shipbuilding. Marine engineeringVM1-989OceanographyGC1-1581ENJournal of Marine Science and Engineering, Vol 9, Iss 1281, p 1281 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tsunami measurement stereo matching feature vector leaning cost volume Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
spellingShingle	tsunami measurement stereo matching feature vector leaning cost volume Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Ying Yang Cunwei Lu A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface
description	Tsunamis are some of the most destructive natural disasters. Some proposed tsunami measurement and arrival prediction systems use a limited number of instruments, then judge the occurrence of the tsunami, forecast its arrival time, location and scale. Since there are a limited number of measurement instruments, there is a possibility that large prediction errors will occur. In order to solve this problem, a long-distance tsunami measurement system based on the binocular stereo vision principle is proposed in this paper. The measuring range is 4–20 km away from the system deployment site. In this paper, we will focus on describing the stereo matching method for the proposed system. This paper proposes a two-step matching method. It first performs fast sparse matching, and then complete high precision dense matching based on the results of the sparse matching. A matching descriptor based on the physical features of sea waves is proposed to solve the matching difficulty caused by the similarity of sea surface image textures. The relationship between disparity and the <i>y</i> coordinate is built to reduce the matching search range. Experiments were conducted on sea surface images with different shooting times and distances; the results verify the effectiveness of the presented method.
format	article
author	Ying Yang Cunwei Lu
author_facet	Ying Yang Cunwei Lu
author_sort	Ying Yang
title	A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface
title_short	A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface
title_full	A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface
title_fullStr	A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface
title_full_unstemmed	A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface
title_sort	stereo matching method for 3d image measurement of long-distance sea surface
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ebd45d2f6fb940ed9f0713ee74398fcd
work_keys_str_mv	AT yingyang astereomatchingmethodfor3dimagemeasurementoflongdistanceseasurface AT cunweilu astereomatchingmethodfor3dimagemeasurementoflongdistanceseasurface AT yingyang stereomatchingmethodfor3dimagemeasurementoflongdistanceseasurface AT cunweilu stereomatchingmethodfor3dimagemeasurementoflongdistanceseasurface
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A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface

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