Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea

The current widely used bathymetric inversion model based on multispectral satellite imagery mostly relies on in-situ depth data for establishing a liner/non-linear relationship between water depth and pixel reflectance. This paper evaluates the performance of a dual-band log-linear analysis model b...

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Autores principales:	Weidong Zhu, Li Ye, Zhenge Qiu, Kuifeng Luan, Naiying He, Zheng Wei, Fan Yang, Zilin Yue, Shubing Zhao, Fei Yang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	remote sensing bathymetry multispectral without in-situ depth data dual-band dual-band log-linear analysis model based on physics Science Q
Acceso en línea:	https://doaj.org/article/465dc28e73574c74ac6ded9848211618
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spelling	oai:doaj.org-article:465dc28e73574c74ac6ded98482116182021-11-11T18:53:59ZResearch of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea10.3390/rs132143312072-4292https://doaj.org/article/465dc28e73574c74ac6ded98482116182021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4331https://doaj.org/toc/2072-4292The current widely used bathymetric inversion model based on multispectral satellite imagery mostly relies on in-situ depth data for establishing a liner/non-linear relationship between water depth and pixel reflectance. This paper evaluates the performance of a dual-band log-linear analysis model based on physics (P-DLA) for bathymetry without in-situ depth data. This is done using WorldView-2 images of blue and green bands. Further, the pixel sampling principles for solving the four key parameters of the model are summarized. Firstly, this paper elaborates on the physical mechanism of the P-DLA model. All unknown parameters of the P-DLA model are solved by different types of sampling pixels extracted from multispectral images for bathymetric measurements. Ganquan Island and Zhaoshu Island, where accuracy evaluation is performed for the bathymetric results of the P-DLA model with in-situ depth data, were selected to be processed using the method to evaluate its performance. The root mean square errors (RMSEs) of the Ganquan Island and Zhaoshu Island results are 1.69 m and 1.74 m with the mean relative error (MREs) of 14.8% and 18.3%, respectively. Meanwhile, the bathymetric inversion is performed with in-situ depth data using the traditional dual-band log-linear regression model (DLR). The results show that the accuracy of the P-DLA model bathymetry without in-situ depth data is roughly equal to that of the DLR model water depth inversion based on in-situ depth data. The results indicate that the P-DLA model can still obtain relatively ideal bathymetric results despite not having actual bathymetric data in the model training. It also demonstrates underwater microscopic features and changes in the islands and reefs.Weidong ZhuLi YeZhenge QiuKuifeng LuanNaiying HeZheng WeiFan YangZilin YueShubing ZhaoFei YangMDPI AGarticleremote sensingbathymetrymultispectralwithout in-situ depth datadual-banddual-band log-linear analysis model based on physicsScienceQENRemote Sensing, Vol 13, Iss 4331, p 4331 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	remote sensing bathymetry multispectral without in-situ depth data dual-band dual-band log-linear analysis model based on physics Science Q
spellingShingle	remote sensing bathymetry multispectral without in-situ depth data dual-band dual-band log-linear analysis model based on physics Science Q Weidong Zhu Li Ye Zhenge Qiu Kuifeng Luan Naiying He Zheng Wei Fan Yang Zilin Yue Shubing Zhao Fei Yang Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea
description	The current widely used bathymetric inversion model based on multispectral satellite imagery mostly relies on in-situ depth data for establishing a liner/non-linear relationship between water depth and pixel reflectance. This paper evaluates the performance of a dual-band log-linear analysis model based on physics (P-DLA) for bathymetry without in-situ depth data. This is done using WorldView-2 images of blue and green bands. Further, the pixel sampling principles for solving the four key parameters of the model are summarized. Firstly, this paper elaborates on the physical mechanism of the P-DLA model. All unknown parameters of the P-DLA model are solved by different types of sampling pixels extracted from multispectral images for bathymetric measurements. Ganquan Island and Zhaoshu Island, where accuracy evaluation is performed for the bathymetric results of the P-DLA model with in-situ depth data, were selected to be processed using the method to evaluate its performance. The root mean square errors (RMSEs) of the Ganquan Island and Zhaoshu Island results are 1.69 m and 1.74 m with the mean relative error (MREs) of 14.8% and 18.3%, respectively. Meanwhile, the bathymetric inversion is performed with in-situ depth data using the traditional dual-band log-linear regression model (DLR). The results show that the accuracy of the P-DLA model bathymetry without in-situ depth data is roughly equal to that of the DLR model water depth inversion based on in-situ depth data. The results indicate that the P-DLA model can still obtain relatively ideal bathymetric results despite not having actual bathymetric data in the model training. It also demonstrates underwater microscopic features and changes in the islands and reefs.
format	article
author	Weidong Zhu Li Ye Zhenge Qiu Kuifeng Luan Naiying He Zheng Wei Fan Yang Zilin Yue Shubing Zhao Fei Yang
author_facet	Weidong Zhu Li Ye Zhenge Qiu Kuifeng Luan Naiying He Zheng Wei Fan Yang Zilin Yue Shubing Zhao Fei Yang
author_sort	Weidong Zhu
title	Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea
title_short	Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea
title_full	Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea
title_fullStr	Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea
title_full_unstemmed	Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea
title_sort	research of the dual-band log-linear analysis model based on physics for bathymetry without in-situ depth data in the south china sea
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/465dc28e73574c74ac6ded9848211618
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Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea

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