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| 1 | 海洋环境观测技术研究进展显示文摘回顾了近年来海洋观测技术发展的基本情况和主要成果,同时指出了海洋观测技术的局限性,与数值模拟技术相结合的必要性,以及加强发展海啸、风暴潮和孤立内波等灾害性强海洋动力过程的监测技术和预警研究的迫切性。 | 蔡树群 张文静 王盛安 | 2007 | 热带海洋学报2007，26，3： | 50 |
| 2 | MODIS渤海海冰遥感资料反演显示文摘鉴于渤海海冰监测和预报对海冰卫星遥感数字化产品的迫切需求,本文利用MODIS的1B级数据进行渤海海冰参数反演,提供海冰遥感图像和海冰密集度、冰厚数值产品,作为渤海海冰监测和海冰数值预报初始场的重要信息来源,以及海冰预报质量检验的参考依据之一。反演结果表明,其各通道对海冰性质有很好的反映,资料信号比较稳定,对不同密集度和厚度的冰有较好的区分,相对NOAA/AVHRR和HY-1A资料有更好的实际应用价值;Terra/MODIS和HY-1A/COCTS海冰遥感反演结果对比也为HY-1A系列卫星海冰遥感的改进和提高提供有益的启示。 | 吴龙涛 吴辉碇 孙兰涛 张蕴斐 刘煜 韦小琴 | 2006 | 中国海洋大学学报(自然科学版)2006，36，2： | 40 |
| 3 | PCA-based sea-ice image fusion of optical data by HIS transform and SAR data by wavelet transform显示文摘Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification. | LIU Meijie DAI Yongshou ZHANG Jie ZHANG Xi MENG Junmin XIE Qinchuan | 2015 | Acta Oceanologica Sinica2015，34，3： | 11 |
| 4 | Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea显示文摘Sea ice thickness is one of the most important input parameters for the prevention and mitigation of sea ice disasters and the prediction of local sea environments and climates. Estimating the sea ice thickness is currently the most important issue in the study of sea ice remote sensing. With the Bohai Sea as the study area, a semiempirical model of the sea ice thickness(SEMSIT) that can be used to estimate the thickness of first-year ice based on existing water depth estimation models and hyperspectral remote sensing data according to an optical radiative transfer process in sea ice is proposed. In the model, the absorption and scattering properties of sea ice in different bands(spectral dimension information) are utilized. An integrated attenuation coefficient at the pixel level is estimated using the height of the reflectance peak at 1 088 nm. In addition, the surface reflectance of sea ice at the pixel level is estimated using the 1 550–1 750 nm band reflectance. The model is used to estimate the sea ice thickness with Hyperion images. The first validation results suggest that the proposed model and parameterization scheme can effectively reduce the estimation error associated with the sea ice thickness that is caused by temporal and spatial heterogeneities in the integrated attenuation coefficient and sea ice surface. A practical semi-empirical model and parameterization scheme that may be feasible for the sea ice thickness estimation using hyperspectral remote sensing data are potentially provided. | YUAN Shuai GU Wei LIU Chengyu XIE Feng | 2017 | Acta Oceanologica Sinica2017，36，1： | 4 |
| 5 | The microwave scattering characteristics of sea ice in the Bohai Sea显示文摘Microwave remote sensing has become the primary means for sea-ice research, and has been supported by a great deal of field experiments and theoretical studies regarding sea-ice microwave scattering. However, these studies have been barely carried in the Bohai Sea. The sea-ice microwave scattering mechanism was first developed for the thin sea ice with slight roughness in the Bohai Sea in the winter of 2012, and included the backscattering coefficients which were measured on the different conditions of three bands(L, C and X), two polarizations(HH and VV), and incident angles of 20° to 60°, using a ground-based scatterometer and the synchronous physical parameters of the sea-ice temperature, density, thickness, salinity, and so on. The theoretical model of the sea-ice electromagnetic scattering is obtained based on these physical parameters. The research regarding the sea-ice microwave scattering mechanism is carried out through two means, which includes the comparison between the field microwave scattering data and the simulation results of the theoretical model, as well as the feature analysis of the four components of the sea-ice electromagnetic scattering. It is revealed that the sea-ice microwave scattering data and the theoretical simulation results vary in the same trend with the incident angles. Also, there is a visible variant in the sensitivity of every component to the different bands.For example, the C and X bands are sensitive to the top surface, the X band is sensitive to the scatterers, and the L and C bands are sensitive to the bottom surface, and so on. It is suggested that the features of the sea-ice surfaces and scatterers can be retrieved by the further research in the future. This experiment can provide an experimental and theoretical foundation for research regarding the sea-ice microwave scattering characteristics in the Bohai Sea. | LIU Meijie DAI Yongshou ZHANG Jie ZHANG Xi MENG Junmin ZHU Xiuqin YIN Yalei | 2016 | Acta Oceanologica Sinica2016，35，5： | 1 |
| 6 | Quantitative Evaluation of Sea-ice Disaster in Bohai Sea Based on GOCI and Sentinel-1显示文摘The Circum-Bohai-Sea Region is an important economic zone of China.The sea ice,which occurs at each winter,is the major marine hazard of the Bohai Sea.As a result,it is very important to evaluate the damage effects quantitatively in this region,which is seldom studied and analyzed systematically using long-time-series data.In this paper,the sea-ice disaster in the Bohai Sea is evaluated quantitatively based on the Sentinel-1 and GOCI.For different hazard-bearing bodies of the marine transportation and the offshore constructions,different sea-ice-hazard indexes are defined,which can be applied to analyze the sea-ice disaster quantitatively in the Bohai Sea,including the annual and inter-annual variations in the period from 2011 to 2017.The analysis results can provide the reference of the sea-ice monitoring in the Bohai Sea. | Meijie LIU Jin WANG Shilei ZHONG Hao YOU Qi LIANG Ting CHEN Wenbo LI Xiaohan YANG | 2021 | Journal of Geodesy and Geoinformation Science2021，4，1： | 1 |
| 7 | Locality preserving fusion of multi-source images for sea-ice classification显示文摘We present a novel sea-ice classification framework based on locality preserving fusion of multi-source images information.The locality preserving fusion arises from two-fold,i.e.,the local characterization in both spatial and feature domains.We commence by simultaneously learning a projection matrix,which preserves spatial localities,and a similarity matrix,which encodes feature similarities.We map the pixels of multi-source images by the projection matrix to a set fusion vectors that preserve spatial localities of the image.On the other hand,by applying the Laplacian eigen-decomposition to the similarity matrix,we obtain another set of fusion vectors that preserve the feature local similarities.We concatenate the fusion vectors for both spatial and feature locality preservation and obtain the fusion image.Finally,we classify the fusion image pixels by a novel sliding ensemble strategy,which enhances the locality preservation in classification.Our locality preserving fusion framework is effective in classifying multi-source sea-ice images(e.g.,multi-spectral and synthetic aperture radar(SAR)images)because it not only comprehensively captures the spatial neighboring relationships but also intrinsically characterizes the feature associations between different types of sea-ices.Experimental evaluations validate the effectiveness of our framework. | Zhiqiang Yu Tingwei Wang Xi Zhang Jie Zhang Peng Ren | 2019 | Acta Oceanologica Sinica2019，38，7： | 1 |
| 8 | 中日韩海洋水色卫星计划对比分析显示文摘21世纪以来,围绕海洋资源开发、海洋环境安全和海洋权益维护,国际上开展了新一轮的海洋竞争,所有这些竞争都离不开对海洋环境的认知,卫星海洋遥感作为世界各国提升海洋环境认知能力的重要高新技术手段,日益得到各国的重视。海洋水色卫星遥感是重要的海洋探测技术,它通过卫星平台上的探测器对海洋表面的水色进行探测,反演出海洋水体中的叶绿素浓度、泥沙含量及黄色物质浓度,进而得到其他相关信息。文章在概要介绍中日韩三国海洋水色卫星发展历程及性能的基础上,对中日韩三国的海洋水色卫星计划及其应用进行了初步的对比分析,基于参考文献对其异同点进行了阐述与评价,从发展思路与发展方式等角度提出了针对我国未来海洋水色卫星计划发展的建议与启示。 | 王泉斌 | 2016 | 海岸工程2016，35，2： | 0 |
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