دورية أكاديمية
i4Ocean: transfer function-based interactive visualization of ocean temperature and salinity volume data
العنوان: | i4Ocean: transfer function-based interactive visualization of ocean temperature and salinity volume data |
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المؤلفون: | Fenglin Tian, Qing Mao, Yazhen Zhang, Ge Chen |
المصدر: | International Journal of Digital Earth, Vol 14, Iss 6, Pp 766-788 (2021) |
بيانات النشر: | Taylor & Francis Group, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Mathematical geography. Cartography |
مصطلحات موضوعية: | ocean temperature and salinity data, ray casting algorithm, transfer function, spherical volume rendering, gpu, Mathematical geography. Cartography, GA1-1776 |
الوصف: | In this paper, we present a novel ocean visualization framework, which focuses on analyzing multidimensional and spatiotemporal ocean data. GPU-based visualization methods are explored to effectively visualize ocean data. An improved ray casting algorithm for heterogeneous multisection ocean volume data is presented. A two-layer spherical shell is taken as the ocean data proxy geometry, which enables oceanographers to obtain a real geographic background based on global terrain. An efficient ray sampling technique including an adaptive sampling technique and a preintegrated transfer function is proposed to achieve high-effectiveness and high-efficiency rendering. Moreover, an interactive transfer function is also designed to analyze the 3D structure of ocean temperature and salinity anomaly phenomena. Based on the framework, an integrated visualization system called i4Ocean is created. The visualization of ocean temperature and salinity anomalies extracted interactively by the transfer function is demonstrated. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1753-8947 1753-8955 17538947 |
Relation: | https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955 |
DOI: | 10.1080/17538947.2021.1886355 |
URL الوصول: | https://doaj.org/article/421daeab045548ebbc1e8ef22666496b |
رقم الأكسشن: | edsdoj.421daeab045548ebbc1e8ef22666496b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 17538947 17538955 |
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DOI: | 10.1080/17538947.2021.1886355 |