共查询到20条相似文献，搜索用时 284 毫秒
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国际深海资源的勘查和开发,积累了大量珍贵的大洋样品和分析测试数据。为完成多源异构海洋地质化学数据的自动集成和智能检索,设计了基于大洋样品本体模型的大洋样品地质化学数据互操作系统。系统为三层架构,分别是数据层、语义层和应用层。数据层完成了数据汇交模板定制;语义层完成了模式和语义互操作;应用层完成了基于语义的一站式数据检索。系统在ODP-ICP-AES、PetDB、GEOROC 3个数据库模型上进行了实验,实验结果显示:该系统在确保数据源独立性、安全性、时效性的前提下,实现了海量大洋调查数据和模型的复用。 相似文献
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《海洋技术学报》2023,(4)
水深是重要的海洋要素，水深遥感反演是获取浅水水深的重要手段。当前水深遥感反
演应用以国外卫星数据为主，国产卫星数据的研究和应用较少。本文针对国产高分六号卫星
（GF-6） 数据，以三亚南山港为研究区域，分别建立单波段回归模型、双波段比值模型、多波段
回归模型，进行多光谱影像的水深反演能力研究，并与国外主流哨兵2 号卫星（Sentinel-2） 数
据进行实验比较。实验结果表明：GF-6 遥感影像具有较好的浅水水深反演能力和一定的反演精度，各波段水深探测能力依次为：绿波段跃蓝波段跃红波段跃近红外波段，反演方法效果依次为：多波段模型跃双波段模型跃单波段模型。相较于Sentinel-2 数据，GF-6 数据水深反演精度与其一致，这表明GF-6 影像具备替代国外遥感数据进行水深反演的能力和大规模应用的潜力。本文针对GF-6 影像水深反演能力的研究方法和分析，结果将为国产高分系列卫星数据的水深反演研究和应用提供有益的参考。 相似文献
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数据融合能够综合利用多源遥感数据优势,获取高空间分辨率和高测量精度的遥感影像,这对于近岸水体生态环境监测和灾害预警均具有重要意义。但目前使用的数据融合方法多是针对内陆水体或大洋水体的,其在近岸水体的适用性仍需进一步评估,因而本文开展了近岸水体遥感数据融合方法对比研究。本文以高空间分辨率的Sentinel-2 MSI影像和中等空间分辨率的Sentinel-3 OLCI影像为数据源,分别开展了基于小波变换（WTBF）、生物光学模型（BOBF）和混合像元分解（IUBF）三种方法的数据融合实验,并在此基础上借助现场实测Rrs数据与融合影像对应点的平均相对误差MRE、均方根误差RMSE、偏差bias和平均梯度对各种方法的融合数据质量和区域适用性进行了评估。结果表明：（1）OLCI的Rrs数据精度高于MSI。其中MSI在443 nm、560 nm和665 nm三个波段的MRE、RMSE均高于OLCI,表明MSI的Rrs精度相对OLCI较低;目视效果和平均梯度表明MSI的清晰度高于OLCI;（2）BOBF是三种方法中融合效果最佳的算法。WTBF和BOBF生成融合影像在三个波段的MRE、RMSE优于MSI。综合MRE、RMSE和bias来看,BOBF和WTBF所生成的影像Rrs准确性高于MSI,而IUBF生成的融合影像的MRE、RMSE和bias相对WTBF和BOBF较高,准确性较差;目视评价和平均梯度表征WTBF和BOBF生成影像的清晰度与MSI相近,BOBF清晰度高于WTBF,IUBF生成影像清晰度相对于OLCI有所提高但未达到MSI水平;（3）在Rrs更低的烟台近岸海域,BOBF生成的融合影像清晰度与MSI相当且Rrs准确性相对于MSI更高,BOBF在该海域具有良好的适用性。 相似文献
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Research on cloud computing and services framework of marine environmental information management 总被引：1，自引：1，他引：0
Based on the features of marine environmental data and processing requirements, a cloud computing archi- tecture of marine environment information is proposed, which provides a new cloud technology framework for the integration and sharing of marine environmental information resources. A physical layer, software platform layer and an application layer are illustrated systematically, at the same time, a corresponding solu- tions for many difficult technical problems such as parallel query processing of multi-dimensional, spatio- temporal information, data slice storage, software service flow customization, analysis, reorganization and so on. A prototype system is developed and many different data-size experiments and a comparative analy- sis are done based on it. The experiment results show that the cloud platform based on this framework can achieve high performance and scalability when dealing with large-scale marine data. 相似文献
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《Marine Geodesy》2012,35(1):1-22
AbstractThe deep seafloor is closest to the Earth’s interior and there are complicated interactions in the physical and biological processes of the seafloor. Oceanographic parameters such as temperature, salinity, and ocean current can provide support for climate prediction. Therefore, the long-term observation of the deep seafloor is critical to the study of global climate change and the biodiversity in complex environments. For the requirements of long-term observation and remote data transmission in the deep sea of the South China Sea, a seafloor observation prototype system is designed in this paper as a stand-alone observation platform. We then proposed a date management method based on Controller Area Network to ensure the data quality. Distributed data management can be performed through system layering, and strict data transmission standards are established between each layer. At the same time, aiming at the difficulty of seafloor video data transmission in real-time, a new solution based on satellite communication technology, object detection technology, and high-efficiency compression coding technology of video images is proposed to provide support for seafloor biodiversity research. The observation data from the experiment are given, and these results show that the system can meet the requirements of long-term observation and remote real-time data transmission, and the reliability of the system is verified. 相似文献
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Sung Jin HONG Byung Ho CHOI Fumihiko IMAMURA 《中国海洋工程》2006,20(3):509-516
1 .Introduction In the present numerical analysis of a tsunami ,atwo-dimensional numerical model based on non-linear shallowwater theoryis mainly used (Aburaya and Imamura ,2002 ;Imamura ,1995 ; Goto andOgawa ,1992) .Thoughthis model representstsunami hei… 相似文献
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Features observed in horizontal wavenumber spectra from low-frequency acoustic measurements taken off the New Jersey Shelf are analyzed through forward modeling using PE models. Environmental models which produce very good agreement with relative intensity data may only match wavenumbers of lower order modes. A prominent feature in contours of modal amplitude versus horizontal wavenumber and depth is the presence of double images of some higher order modes. Two possible causes of this phenomenon are examined. Range dependence in the environment can produce multiple modal images, but the magnitudes of variations required are much larger than those expected at the experiment site. The more likely cause of the double modes is shown to be a duct deep (two acoustic wavelengths) within the sediment. It produces modes with wavenumbers that are close together and with shapes that are very similar in the water column. Comparisons of model predictions with 50-Hz experimental wavenumbers and mode shapes show good agreement, except for amplitudes of some higher order modes. Predictions at 75 Hz typically require more detailed information about the sediment structure in order to accurately match all the features of higher order modes in the data 相似文献
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为解决侧扫声纳(SSS)图像沉船检测中样本不足、代表性弱等带来的检测精度低的问题,提出了一种联合YOLOv4和迁移学习的SSS图像沉船检测方法。首先,基于SSS成像机理实现了SSS沉船图像样本扩增,解决样本少而无法开展沉船检测模型构建的难题;然后,利用迁移学习,将公共数据集上学习到的权重和沉船通用性特征引入YOLOv4网络,构建高性能沉船检测模型。试验表明,构建的沉船检测模型取得了85.5%的类平均精度(mAP),将传统方法的检测精度提升了7.7%,在少样本情况下实现了沉船的高精度检测。 相似文献