i4Ocean: transfer function-based interactive visualization of ocean temperature and salinity volume data

作     者：Fenglin Tian Qing Mao Yazhen Zhang Ge Chen 

作者机构：Department of Marine TechnologyOcean University of ChinaQingdaoPeople’s Republic of China Qingdao National Laboratory for Marine Science and TechnologyQingdaoPeople’s Republic of China 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2021年第14卷第6期

页      面：766-788页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

基　　金：supported by the National Natural Science Foundation of China[grant number 42030406] the Marine Science&Technology Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology(Qingdao)[grant number 2018SDKJ0102] the National Key R&D Program of China[grant number 2016YFC1401008] the ESA-NRSCC Scientific Cooperation Project on Earth Observation Science and Applications:Dragon 5[grant number 58393] the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources[grant number KF-2020-05-085] 

主　　题：Ocean temperature and salinity data ray casting algorithm transfer function spherical volume rendering GPU 

摘      要：In this paper,we present a novel ocean visualization framework,which focuses on analyzing multidimensional and spatiotemporal ocean ***-based visualization methods are explored to effectively visualize ocean *** 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 *** efficient ray sampling technique including an adaptive sampling technique and a preintegrated transfer function is proposed to achieve high-effectiveness and high-efficiency ***,an interactive transfer function is also designed to analyze the 3D structure of ocean temperature and salinity anomaly *** on the framework,an integrated visualization system called i4Ocean is *** visualization of ocean temperature and salinity anomalies extracted interactively by the transfer function is demonstrated.