Zhibo Geng , Guangxu Zhu , Min Chen , Zhonglai Wang , Tianjiao Zeng
{"title":"基于水光学特性的沿海水域模拟实时渲染","authors":"Zhibo Geng , Guangxu Zhu , Min Chen , Zhonglai Wang , Tianjiao Zeng","doi":"10.1016/j.optlaseng.2025.109093","DOIUrl":null,"url":null,"abstract":"<div><div>With the development of visual simulation technology in recent years, digital ocean simulation has garnered significant attention. However, current water simulation methods predominantly focus on ocean surface wave and light effects, with limited consideration of the complex water quality and optical properties inherent to nearshore waters. This paper introduces a comprehensive real-time rendering method for coastal waters, grounded in the optical properties of water bodies. By analyzing the formation mechanism of water color and integrating a bio-optical model, a parameterized simulation model is established. This model enables accurate real-time simulation of color values at any point on the water surface and underwater. The method achieves an average running frame rate of 101.5 FPS while handling scenes with over 1.2 million triangles, underscoring its high computational efficiency and real-time performance. Comparative analysis with existing models reveals that this approach not only accounts for water quality parameters, such as chlorophyll, colored dissolved organic matter (CDOM), and suspended particles, but also extends simulations to both surface and underwater environments. Experimental results indicate that the model attains a high degree of realism in replicating diverse coastal water settings, with color accuracy within ±5 % of measured values. This represents a substantial enhancement in accuracy and real-time performance over previous models, which often neglect real-time underwater simulations. The proposed method offers a more precise and efficient solution for visualizing intricate coastal water environments.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109093"},"PeriodicalIF":3.5000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time rendering of coastal waters simulation based on water optical properties\",\"authors\":\"Zhibo Geng , Guangxu Zhu , Min Chen , Zhonglai Wang , Tianjiao Zeng\",\"doi\":\"10.1016/j.optlaseng.2025.109093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the development of visual simulation technology in recent years, digital ocean simulation has garnered significant attention. However, current water simulation methods predominantly focus on ocean surface wave and light effects, with limited consideration of the complex water quality and optical properties inherent to nearshore waters. This paper introduces a comprehensive real-time rendering method for coastal waters, grounded in the optical properties of water bodies. By analyzing the formation mechanism of water color and integrating a bio-optical model, a parameterized simulation model is established. This model enables accurate real-time simulation of color values at any point on the water surface and underwater. The method achieves an average running frame rate of 101.5 FPS while handling scenes with over 1.2 million triangles, underscoring its high computational efficiency and real-time performance. Comparative analysis with existing models reveals that this approach not only accounts for water quality parameters, such as chlorophyll, colored dissolved organic matter (CDOM), and suspended particles, but also extends simulations to both surface and underwater environments. Experimental results indicate that the model attains a high degree of realism in replicating diverse coastal water settings, with color accuracy within ±5 % of measured values. This represents a substantial enhancement in accuracy and real-time performance over previous models, which often neglect real-time underwater simulations. The proposed method offers a more precise and efficient solution for visualizing intricate coastal water environments.</div></div>\",\"PeriodicalId\":49719,\"journal\":{\"name\":\"Optics and Lasers in Engineering\",\"volume\":\"194 \",\"pages\":\"Article 109093\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optics and Lasers in Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0143816625002787\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143816625002787","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
Real-time rendering of coastal waters simulation based on water optical properties
With the development of visual simulation technology in recent years, digital ocean simulation has garnered significant attention. However, current water simulation methods predominantly focus on ocean surface wave and light effects, with limited consideration of the complex water quality and optical properties inherent to nearshore waters. This paper introduces a comprehensive real-time rendering method for coastal waters, grounded in the optical properties of water bodies. By analyzing the formation mechanism of water color and integrating a bio-optical model, a parameterized simulation model is established. This model enables accurate real-time simulation of color values at any point on the water surface and underwater. The method achieves an average running frame rate of 101.5 FPS while handling scenes with over 1.2 million triangles, underscoring its high computational efficiency and real-time performance. Comparative analysis with existing models reveals that this approach not only accounts for water quality parameters, such as chlorophyll, colored dissolved organic matter (CDOM), and suspended particles, but also extends simulations to both surface and underwater environments. Experimental results indicate that the model attains a high degree of realism in replicating diverse coastal water settings, with color accuracy within ±5 % of measured values. This represents a substantial enhancement in accuracy and real-time performance over previous models, which often neglect real-time underwater simulations. The proposed method offers a more precise and efficient solution for visualizing intricate coastal water environments.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques