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| 1 | A wave energy resource assessment in the China's seas based on multi-satellite merged radar altimeter data显示文摘Wave energy resources are abundant in both offshore and nearshore areas of the China's seas. A reliable assessment of the wave energy resources must be performed before they can be exploited. First, for a water depth in offshore waters of China, a parameterized wave power density model that considers the effects of the water depth is introduced to improve the calculating accuracy of the wave power density. Second, wave heights and wind speeds on the surface of the China's seas are retrieved from an AVISO multi-satellite altimeter data set for the period from 2009 to 2013. Three mean wave period inversion models are developed and used to calculate the wave energy period. Third, a practical application value for developing the wave energy is analyzed based on buoy data. Finally, the wave power density is then calculated using the wave field data. Using the distribution of wave power density, the energy level frequency, the time variability indexes, the total wave energy and the distribution of total wave energy density according to a wave state, the offshore wave energy in the China's seas is assessed. The results show that the areas of abundant and stable wave energy are primarily located in the north-central part of the South China Sea, the Luzon Strait, southeast of Taiwan in the China's seas; the wave power density values in these areas are approximately 14.0–18.5 k W/m. The wave energy in the China's seas presents obvious seasonal variations and optimal seasons for a wave energy utilization are in winter and autumn. Except for very coastal waters, in other sea areas in the China's seas, the energy is primarily from the wave state with 0.5 m≤H s≤4 m, 4 s≤T e≤10 s where H s is a significant wave height and T e is an energy period; within this wave state, the wave energy accounts for 80% above of the total wave energy. This characteristic is advantageous to designing wave energy convertors(WECs). The practical application value of the wave energy is higher which can be as an effective supplement for an energy consumption in some areas. The above results are consistent with the wave model which indicates fully that this new microwave remote sensing method altimeter is effective and feasible for the wave energy assessment. | WAN Yong ZHANG Jie MENG Junmin WANG Jing | 2015 | Acta Oceanologica Sinica2015，34，3： | 13 |
| 2 | 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 |
| 3 | A study of the spatial-temporal distribution and propagation characteristics of internal waves in the Andaman Sea using MODIS显示文摘This paper describes investigations of the internal waves in the Andaman Sea using Moderate Resolution Imaging Spectroradiometer(MODIS)imagery over the period of June 2010 to May 2016.Results of the spatial and temporal distribution,generation sources and propagation characteristics of internal waves are presented.The statistical analysis shows that internal waves can be observed in almost the entire area of the Andaman Sea.Most internal waves are observed in the northern,central and southern regions of the Andaman Sea.A significant number of internal waves between 7°N and 9°N in the East Indian Ocean are also observed.Internal waves can be observed year-round in the Andaman Sea,while most of internal waves are observed between February and April,with a maximum frequency of 15.03%in March.The seasonal distribution of the internal waves shows that the internal waves have mostly been observed in the dry season(February to April),and fewer internal waves are observed in the rainy season(May to October).The double peak distribution for the occurrence frequency of internal waves is found.With respect to the lunar influence,more internal waves are observed after the spring tide,which implies the spring tide may play an important role in internal wave generation in the Andaman Sea.Generation sources of internal waves are explored based on the propagation characteristics of internal waves.The results indicate that six sources are located between the Andaman Islands and the Nicobar Islands,and one is located in the northern Andaman Sea.Four regions with active internal wave phenomenon in the Andaman Sea were presented during the MODIS survey,and the propagation speed of internal waves calculated based on the semidiurnal generation period is smaller than the results acquired from pairs of the images with short time intervals. | Lina Sun Jie Zhang Junmin Meng | 2019 | Acta Oceanologica Sinica2019，38，7： | 10 |
| 4 | Exploitable wave energy assessment based on ERA-Interim reanalysis data—A case study in the East China Sea and the South China Sea显示文摘Wave energy resources assessment is a very important process before the exploitation and utilization of the wave energy. At present, the existing wave energy assessment is focused on theoretical wave energy conditions for interesting areas. While the evaluation for exploitable wave energy conditions is scarcely ever performed.Generally speaking, the wave energy are non-exploitable under a high sea state and a lower sea state which must be ignored when assessing wave energy. Aiming at this situation, a case study of the East China Sea and the South China Sea is performed. First, a division basis between the theoretical wave energy and the exploitable wave energy is studied. Next, based on recent 20 a ERA-Interim wave field data, some indexes including the spatial and temporal distribution of wave power density, a wave energy exploitable ratio, a wave energy level, a wave energy stability, a total wave energy density, the seasonal variation of the total wave energy and a high sea condition frequency are calculated. And then the theoretical wave energy and the exploitable wave energy are compared each other; the distributions of the exploitable wave energy are assessed and a regional division for exploitable wave energy resources is carried out; the influence of the high sea state is evaluated. The results show that considering collapsing force of the high sea state and the utilization efficiency for wave energy, it is determined that the energy by wave with a significant wave height being not less 1 m or not greater than 4 m is the exploitable wave energy. Compared with the theoretical wave energy, the average wave power density, energy level, total wave energy density and total wave energy of the exploitable wave energy decrease obviously and the stability enhances somewhat. Pronounced differences between the theoretical wave energy and the exploitable wave energy are present. In the East China Sea and the South China Sea, the areas of an abundant and stable exploitable wave energy are primarily located in the north-central part of the South China Sea, the Luzon Strait,east of Taiwan, China and north of Ryukyu Islands; annual average exploitable wave power density values in these areas are approximately 10–15 k W/m; the exploitable coefficient of variation(COV) and seasonal variation(SV)values in these areas are less than 1.2 and 1, respectively. Some coastal areas of the Beibu Gulf, the Changjiang Estuary, the Hangzhou Bay and the Zhujiang Estuary are the poor areas of the wave energy. The areas of the high wave energy exploitable ratio is primarily in nearshore waters. The influence of the high sea state for the wave energy in nearshore waters is less than that in offshore waters. In the areas of the abundant wave energy, the influence of the high sea state for the wave energy is prominent and the utilization of wave energy is relatively difficult. The developed evaluation method may give some references for an exploitable wave energy assessment and is valuable for practical applications. | WAN Yong ZHANG Jie MENG Junmin WANG Jing | 2015 | Acta Oceanologica Sinica2015，34，9： | 9 |
| 5 | Point association analysis of vessel target detection with SAR, HFSWR and AIS显示文摘A space-borne synthetic aperture radar(SAR), a high frequency surface wave radar(HFSWR), and a ship automatic identification system(AIS) are the main remote sensors for vessel monitoring in a wide range. These three sensors have their own advantages and weaknesses, and they can complement each other in some situations. So it would improve the capability of vessel target detection to use multiple sensors including SAR, HFSWR, and AIS to identify non-cooperative vessel targets from the fusion results. During the fusion process of multiple sensors' detection results, point association is one of the key steps, and it can affect the accuracy of the data fusion and the efficiency of a non-cooperative target's recognition. This study investigated the point association analyses of vessel target detection under different conditions: spaceborne SAR paired with AIS, as well as HFSWR, paired with AIS, and the characteristics of the SAR and the HFSWR and their capability of vessel target detection. Then a point association method of multiple sensors was proposed. Finally, the thresholds selection of key parameters in the points association(including range threshold, radial velocity threshold, and azimuth threshold) were investigated, and their influences on final association results were analyzed. | JI Yonggang ZHANG Jie MENG Junmin WANG Yiming | 2014 | Acta Oceanologica Sinica2014，33，9： | 8 |
| 6 | CYLD mediates ciliogenesis in multiple organs by deubiquitinating Cep70 and inactivating HDAC6显示文摘睫是毛一般的细胞器从房间表面延长与重要感觉并且活动性功能。睫的缺点能导致作为 ciliopathies 知道的大量人的疾病。然而,控制 ciliogenesis 的分子的机制仍然保持糟糕定义。这里,我们显示出那 cylindromatosis (CYLD ) ,怀有 deubiquitinase 活动的肿瘤 suppressor 蛋白质,在多重机关在主要、能动的睫的集会起一个关键作用。CYLD 猛烈老鼠 polydactyly 展出并且各种各样的睫的缺点,例如在基础身体抛锚和基础身体和 axenomes 的组织的破坏的失败。CYLD 的睫的功能部分从 70 kDa (Cep70 ) 的 centrosomal 蛋白质被归因于它 polyubiquitin 链的 deconjugation,为 Cep70 到的一个要求与 γ 交往;导管素并且在中心体本地化。另外, histone deacetylase 的调停 CYLD 的抑制 6 (HDAC6 ) ,它支持导管素 acetylation,为 CYLD 的睫的功能组成另一机制。HDAC6 的小分子的禁止者能部分在 CYLD 猛烈老鼠救睫的缺点。这些调查结果在 ciliogenesis 的调整强调蛋白质 ubiquitination 的重要性,作为这个过程的一个关键管理者识别 CYLD,并且建议在 ciliopathies 的 CYLD 缺乏的参与。 | Yunfan Yang Jie Ran Min Liu Dengwen Li Yuanyuan Li Xingjuan Shi Dan Meng Junmin Pan Guangshuo Ou Rim Aneja Sbao-Cong Sun Jun Zhou | 2014 | Cell Research2014，24，11： | 8 |
| 7 | Study on the amplitude inversion of internal waves at Wenchang area of the South China Sea显示文摘The field experiment is conducted from April 16,2005 to July 20,2005 at Wenchang area east of Hainan Island(19°35'N,112°E) of China.Internal wave packets are observed frequently with thermistor chains during the experiment.Meanwhile,internal waves are also detected from a synthetic aperture radar(SAR) image on June 19,2005 and several other moderate-resolution imaging spectroradiometer(MODIS) images near a mooring position.The distance between the positive and negative peaks induced by the internal wave can be obtained from satellite images.Combined with remote sensing images and in situ data,a new method to inverse the amplitude of the internal wave is proposed based on a corrected nonlinear Schr?dinger(NLS) equation.Two relationships are given between the peak-to-peak distance and the characteristic wavelength of the internal wave for different nonlinear and dispersion coefficients.Based on the satellite images,the amplitude inversion of the internal waves are carried out with the NLS equation as well as the Kd V equation.The calculated amplitudes of the NLS equation are close to the observation amplitude which promise the NLS equation a reliable method. | ZHANG Xudong WANG Jing SUN Lina MENG Junmin | 2016 | Acta Oceanologica Sinica2016，35，7： | 8 |
| 8 | Estimating significant wave height from SAR imagery based on an SVM regression model显示文摘A new method for estimating significant wave height(SWH) from advanced synthetic aperture radar(ASAR) wave mode data based on a support vector machine(SVM) regression model is presented. The model is established based on a nonlinear relationship between σ0, the variance of the normalized SAR image, SAR image spectrum spectral decomposition parameters and ocean wave SWH. The feature parameters of the SAR images are the input parameters of the SVM regression model, and the SWH provided by the European Centre for Medium-range Weather Forecasts(ECMWF) is the output parameter. On the basis of ASAR matching data set, a particle swarm optimization(PSO) algorithm is used to optimize the input kernel parameters of the SVM regression model and to establish the SVM model. The SWH estimation results yielded by this model are compared with the ECMWF reanalysis data and the buoy data. The RMSE values of the SWH are 0.34 and 0.48 m, and the correlation coefficient is 0.94 and 0.81, respectively. The results show that the SVM regression model is an effective method for estimating the SWH from the SAR data. The advantage of this model is that SAR data may serve as an independent data source for retrieving the SWH, which can avoid the complicated solution process associated with wave spectra. | GAO Dong LIU Yongxin MENG Junmin JIA Yongjun FAN Chenqing | 2018 | Acta Oceanologica Sinica2018，37，3： | 7 |
| 9 | Underwater topography detection of Shuangzi Reefs with SAR images acquired in different time显示文摘Imaging mechanism of underwater topography by SAR and a underwater topography SAR detection model built on the theory of underwater topography detection with SAR image presented by Yuan Yeli are used to detect the underwater topography of Shuangzi Reefs in the Nansha Islands with three scenes of SAR images acquired in different time. Detection results of three SAR images are compared with the chart topography and the detection errors are analyzed. Underwater topography detection experiments of Shuangzi Reefs show that the detection model is practicable. The detection results indicate that SAR images acquired in different time also can be used to detect the underwater topography, and the detection results are affected by the ocean conditions in the SAR acquiring time. | YANG Jungang ZHANG Jie MENG Junmin | 2007 | Acta Oceanologica Sinica2007，26，1： | 6 |
| 10 | Study on wave energy resource assessing method based on altimeter data——A case study in Northwest Pacific显示文摘Wave energy resource is a very important ocean renewable energy. A reliable assessment of wave energy resources must be performed before they can be exploited. Compared with wave model, altimeter can provide more accurate in situ observations for ocean wave which can be as a novel method for wave energy assessment.The advantage of altimeter data is to provide accurate significant wave height observations for wave. In order to develop characteristic and advantage of altimeter data and apply altimeter data to wave energy assessment, in this study, we established an assessing method for wave energy in local sea area which is dedicated to altimeter data.This method includes three parts including data selection and processing, establishment of evaluation indexes system and criterion of regional division. Then a case study of Northwest Pacific was performed to discuss specific application for this method. The results show that assessing method in this paper can assess reserves and temporal and spatial distribution effectively and provide scientific references for the siting of wave power plants and the design of wave energy convertors. | WAN Yong ZHANG Jie MENG Junmin WANG Jing DAI Yongshou | 2016 | Acta Oceanologica Sinica2016，35，3： | 5 |
| 11 | On generation source sites of internal waves in the Luzon Strait显示文摘This effort aims to determine the generation source sites in the Luzon Strait for energetic,long-crest,transbasin internal waves(IW)observed in the northern South China Sea(NSCS).The roles of islands distributed on eastern side of the strait,Kuroshio,submarine ridges,shoaling thermocline,and strait configuration played in the IW generation are examined using the cruise data analysis,satellite data interpretation,and dynamical analysis.The islands and channels on eastern side of the strait are excluded from a list of possible IW source sites owing to their unmatched horizontal dimensions to the scale of IW crest line length,and the relative low Reynolds number.The Kuroshio has a potential to be a radiator for the long-crest IW disturbances,meanwhile,the Kuroshio west(east)wing absorbs the eastward(westward)propagating IW disturbance.Namely,the Kuroshio blockades the outside west-east propagating IW disturbances.The 3-D configuration of the Luzon Strait is characterized by a sudden,more than one order widening of the cross-section areas at the outlets on both sides,providing a favorable condition for IW type initial disturbance formation.In the Luzon Strait,the thermocline is featured by a westward shoaling all the year around,providing the dynamical conditions for the amplitude growth(declination)to the westward(eastward)propagating IW type disturbance.Thus,the west slope of western submarine ridge at the western outlet of the Luzon Strait is a high possibility source sites for energetic,long-crest,transbasin IWs in the NSCS.The interpretation results of satellite SAR images during a 13 a period from 1995 to 2007 provide the convincing evidence for the conclusions. | ZHENG Quanan SONG Y Tony LIN Hui HU Xiaomin MENG Junmin WANG Dan | 2008 | Acta Oceanologica Sinica2008，27，3： | 5 |
| 12 | Iron-chelated hydrogel-derived bifunctional oxygen electrocatalyst for high-performance rechargeable Zn-air batteries显示文摘 | Fanlu Meng Haixia Zhong Junmin Yan Xinbo Zhang | 2017 | Nano Research2017，10，12： | 4 |
| 13 | Recent Advances on Boosting the Cell Voltage of Aqueous Supercapacitors显示文摘Due to its ultra-fast charge/discharge rate,long cyclic life span,and environmental benignity,aqueous supercapacitor(SC)is considered as a proper nextgeneration energy storage device.Unfortunately,limited by undesirable water electrolysis and unreasonable electrode potential range,aqueous SC normally generates a narrow cell voltage,resulting in a low energy density.To address such challenge,enormous efforts have been made to construct high-voltage aqueous SCs.Despite these achievements,the systematic reviews about this field are still rare.To fill this knowledge gap,this review summarizes the recent advances about boosting the cell voltage of aqueous SCs.From the viewpoint of electrode,doping alkali cations,modulating the electrode mass ratio,and optimizing the surface charge density are regarded as three effective pathways to achieve this goal.However,adjusting the appropriate pH level,introducing redox mediators,and constructing“water-in-salt”electrolyte are other three universal routes from the electrolyte aspect.Furthermore,it is also effective to obtain the high-voltage aqueous SCs through asymmetric design,such as designing asymmetric SCs.The confronting challenges and future development tendency towards the high-voltage aqueous SCs are further discussed. | Qianzhi Gou Shuang Zhao Jiacheng Wang Meng Li Junmin Xue | 2020 | Nano-Micro Letters2020，12，8： | 4 |
| 14 | A synthetic aperture radar sea surface distribution estimation by n-order Bézier curve and its application in ship detection显示文摘To dates,most ship detection approaches for single-pol synthetic aperture radar(SAR) imagery try to ensure a constant false-alarm rate(CFAR).A high performance ship detector relies on two key components:an accurate estimation to a sea surface distribution and a fine designed CFAR algorithm.First,a novel nonparametric sea surface distribution estimation method is developed based on n-order Bézier curve.To estimate the sea surface distribution using n-order Bézier curve,an explicit analytical solution is derived based on a least square optimization,and the optimal selection also is presented to two essential parameters,the order n of Bézier curve and the number m of sample points.Next,to validate the ship detection performance of the estimated sea surface distribution,the estimated sea surface distribution by n-order Bézier curve is combined with a cell averaging CFAR(CA-CFAR).To eliminate the possible interfering ship targets in background window,an improved automatic censoring method is applied.Comprehensive experiments prove that in terms of sea surface estimation performance,the proposed method is as good as a traditional nonparametric Parzen window kernel method,and in most cases,outperforms two widely used parametric methods,K and G0 models.In terms of computation speed,a major advantage of the proposed estimation method is the time consuming only depended on the number m of sample points while independent of imagery size,which makes it can achieve a significant speed improvement to the Parzen window kernel method,and in some cases,it is even faster than two parametric methods.In terms of ship detection performance,the experiments show that the ship detector which constructed by the proposed sea surface distribution model and the given CA-CFAR algorithm has wide adaptability to different SAR sensors,resolutions and sea surface homogeneities and obtains a leading performance on the test dataset. | LANG Haitao ZHANG Jie WANG Yiduo ZHANG Xi MENG Junmin | 2016 | Acta Oceanologica Sinica2016，35，9： | 3 |
| 15 | A detection model of underwater topography with a series of SAR images acquired at different time显示文摘underwater topography is one of oceanic features detected by Synthetic Aperture Radar.Underwater topography SAR imaging mechanism shows that tidal current is the important factor for underwater topography SAR imaging.Thus under the same wind field condition,SAR images for the same area acquired at different time include different information of the underwater topography.To utilize synchronously SAR images acquired at different time for the underwater topography SAR detection and improve the precision of detection,based on the detection model of underwater topography with single SAR image and the periodicity of tidal current,a detection model of underwater topography with a series of SAR images acquired at different time is developed by combing with tide and tidal current numerical simulation.To testify the feasibility of the presented model,Taiwan Shoal located at the south outlet of Taiwan Strait is selected as study area and three SAR images are used in the underwater topography detection.The detection results are compared with the field observation data of water depth carried out by R/V Dongfanghong 2,and the errors of the detection are compared with those of the single SAR image.All comparisons show that the detection model presented in the paper improves the precision of underwater topography SAR detection,and the presented model is feasible. | YANG Jungang ZHANG Jie MENG Junmin | 2010 | Acta Oceanologica Sinica2010，29，4： | 3 |
| 16 | Assessment of C-band compact polarimetry SAR for sea ice classification显示文摘来自中国,在北极的北美东北部的半岛海和在南极的 Weddell 海的 Bohai 海的 C 乐队合成的孔雷达(SAR ) 数据被用来分析并且讨论海冰在紧缩的测定偏振的模式下面的完整的测定偏振的信息重建能力。有最高重建的精确性的紧缩的测定偏振的模式的类型被分析,与海冰察觉和海冰分类上的重建的假 quad-pol SAR 数据的性能影响一起。根据评价和分析,为重建采用 CTLR 模式被建议测定偏振的参数 HH 0, VV 0, H 并且,当时为重建测定偏振的参数 HV 0, H-V ,1和2,使用 /4 模式被建议。而且,在学习在电磁波之间的行动效果使用 /4 模式被建议,海冰,而是它被建议使用 CTLR 模式学习海冰分类。 | ZHANG Xi ZHANG Jie LIU Meijie MENG Junmin | 2016 | Acta Oceanologica Sinica2016，35，5： | 3 |
| 17 | Observation of internal waves with OLCI and SRAL on board Sentinel-3显示文摘The ocean and land color instrument(OLCI) and synthetic aperture radar altimeter(SRAL) installed aboard the Sentinel-3 satellite have been in orbit for operational uses. In this study, data collected from Sentinel-3 are used to investigate internal waves in the South China Sea. An internal wave is detected using an OLCI image with a resolution of 300 m, and an analysis was performed with a quasi-synchronous moderate-resolution imaging spectroradiometer(MODIS) image. The opposite characteristics of OLCI and MODIS images of the same internal wave are explained by the critical angle in brightness reversals. The unique observational geometry of the OLCI image and its influence on observations of internal waves are discussed. The distribution of σ0 and sea surface height anomalies(SSHAs) induced by internal waves are studied using SRAL records. The σ0 records of SRAL occasionally show less sensitivity to the modulation of internal waves, which may be attributed to the observational geometry, while SSHAs show obvious variations. The synchronous pairing of OLCI images and SRAL records are analyzed to extract the three-dimensional sea surface signatures induced by internal waves. The analysis demonstrates that the profile of SSHAs in the surface shows an opposite phase to the profiles of internal waves in the ocean. The opposite phase relationship, observed in the remote sensing view, is also confirmed with a laboratory experiment. | Xudong Zhang Jie Zhang Junmin Meng Chenqing Fan Jing Wang | 2020 | Acta Oceanologica Sinica2020，39，3： | 2 |
| 18 | Salivary microbiota may predict the presence of esophageal squamous cell carcinoma显示文摘The aim is to explore the predictive value of salivary bacteria for the presence of esophageal squamous cell carcinoma (ESCC). Saliva samples were obtained from 178 patients with ESCC and 101 healthy controls, and allocated to screening and verification cohorts, respectively. In the screening phase, after saliva DNA was extracted, 16S rRNA V4 regions of salivary bacteria were amplified by polymerase chain reaction (PCR) with high-throughput sequencing. Highly expressed target bacteria were screened by Operational Taxonomic Units clustering, species annotation and microbial diversity assessment. In the verification phase, the expression levels of target bacteria identified in the screening phase were verified by absolute quantitative PCR (Q-PCR). Receiver operating characteristic (ROC) curves were plotted to investigate the predictive value of target salivary bacteria. LEfSe analysis revealed higher proportions of Fusobacterium, Streptococcus and Porphyromonas, and Q-PCR assay showed significantly higher numbers of Streptococcus salivarius, Fusobacterium nucleatum and Porphyromonas gingivalis in patients with ESCC, when compared with healthy controls (all P < 0.05). The areas under the ROC curves for Streptococcus salivarius, Fusobacterium nucleatum, Porphyromonas gingivalis and the combination of the three bacteria for predicting patients with ESCC were 69%, 56.5%, 61.8% and 76.4%, respectively. The sensitivities corresponding to cutoff value were 69.3%, 22.7%, 35.2% and 86.4%, respectively, and the matched specificity were 78.4%, 96.1%, 90.2% and 58.8%, respectively. These highly expressed Streptococcus salivarius, Fusobacterium nucleatum and Porphyromonas gingivalis in the saliva, alone or in combination, indicate their predictive value for ESCC. | Junmin Wei Ruifeng Li Yanxian Lu Fan Meng Bohong Xian Xiaorong Lai Xiayi Lin Yu Deng Dongyang Yang Huabin Zhang Liangfang Li Xiaosong Ben Guibin Qiao Wanwei Liu Zijun Li | 2022 | Genes & Diseases2022，9，4： | 2 |
| 19 | The polarimetric features of oil spills in full polarimetric synthetic aperture radar images显示文摘Compared with single-polarized synthetic aperture radar(SAR) images, full polarimetric SAR images contain not only geometrical and backward scattering characteristics, but also the polarization features of the scattering targets. Therefore, the polarimetric SAR has more advantages for oil spill detection on the sea surface. As a crucial step in the oil spill detection, a feature extraction directly influences the accuracy of oil spill discrimination. The polarimetric features of sea oil spills, such as polarimetric entropy, average scatter angle, in the full polarimetric SAR images are analyzed firstly. And a new polarimetric parameter P which reflects the proportion between Bragg and specular scattering signals is proposed. In order to investigate the capability of the polarimetric features for observing an oil spill, systematic comparisons and analyses of the multipolarization features are provided on the basis of the full polarimetric SAR images acquired by SIR-C/X-SAR and Radarsat-2. The experiment results show that in C-band SAR images the oil spills can be detected more easily than in L-band SAR images under low to moderate wind speed conditions. Moreover, it also finds that the new polarimetric parameter is sensitive to the sea surface scattering mechanisms. And the experiment results demonstrate that the new polarimetric parameter and pedestal height perform better than other polarimetric parameters for the oil spill detection in the C-band SAR images. | ZHENG Honglei ZHANG Yanmin WANG Yunhua ZHANG Xi MENG Junmin | 2017 | Acta Oceanologica Sinica2017，36，5： | 2 |
| 20 | Detection of ocean internal waves based on Faster R-CNN in SAR images显示文摘Ocean internal waves appear as irregular bright and dark stripes on synthetic aperture radar(SAR)remote sensing images.Ocean internal waves detection in SAR images consequently constituted a difficult and popular research topic.In this paper,ocean internal waves are detected in SAR images by employing the faster regions with convolutional neural network features(Faster R-CNN)framework;for this purpose,888 internal wave samples are utilized to train the convolutional network and identify internal waves.The experimental results demonstrate a 94.78%recognition rate for internal waves,and the average detection speed is 0.22 s/image.In addition,the detection results of internal wave samples under different conditions are analyzed.This paper lays a foundation for detecting ocean internal waves using convolutional neural networks. | BAO Sude MENG Junmin SUN Lina LIU Yongxin | 2020 | Journal of Oceanology and Limnology2020，38，1： | 2 |
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