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Articles by Space Informatics
Joint Dynamic Memory Allocation for Memory-Intensive Applications in CXL-Based Heterogeneous Memory Systems
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 1, , , , , and , “Scientific Machine Learning Through Physics Informed Neural Networks: Where We Are and What s Next,” Journal of Scientific Computing 92 (2022): 88, https://doi.org/10.1007/s10915-022-01939-z.
Spatially non-stationary relationships between sea fog and marine meteorological factors with a satellite-based geographically weighted regression model
CONFLICT OF INTEREST STATEMENT The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. DATA AVAILABILITY STATEMENT The ERA5 reanalysis data are available at . The Himawari-9 satellite data are available at https://www.e-orc.j-axa.jp/ptree/index.html.
Analysis of Spatiotemporal Patterns and Influencing Factors of Near-Surface Methane Concentration in Representative Oilfield Regions of Dongying City
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The ERA5 meteorological data that support the findings of this study are available in the official website (https://cds.climate.copernicus.eu/). Other data supporting the findings of this study are not publicly available due to privacy or ethical restrictions. References Anonymous. 2008.
Estimating Subsurface Chlorophyll‐a Vertical Structure in Tropical‐Subtropical Oceans Using TCB‐MHA: A Dual‐Branch Neural Network Model
Conflict of Interest The authors declare no conflicts of interest relevant to this study. Data Availability Statement All data sets used in this study are publicly available. The BGC-Argo Chla profiles are accessible via the Biogeochemical-Argo data portal (https://biogeochemical-argo.org/). The in situ Chla profiles from the central-western South China Sea are available from the corresponding author upon reasonable request and with the owner's permission.
Multi‐Beam and Side‐Scan Sonar Image Registration of Submarine Pipeline Based on Phase Congruency
References 1, . Image registration methods:A survey. Image&Vision Computing 2003; 21(11): 977–1000. 2. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 2004; 60(2): 91–110. 3, , , . Speeded-up robust features (SURF). Computer Vision and Image Understanding 2008; 110(3): 346–359. 4, . PCA-SIFT: A more Distinctive Representation for Local Image Descriptors. IEEE Computer Society 2004; 2: II-506–II-513. 5, , , . ORB: an efficient alternative to SIFT or SURF.
Underwater Delay Estimation Based on Adaptive Singular Value Decomposition Reconstruction Under Low SNR and Multipath Conditions
References 1 and , “Tracking Control Based on Gps Intelligent Buoy System for an Autonomous Underwater Vehicles Under Measurement Noise and Measurement Delay,” International Journal of Computational Intelligence Systems 16, no. 1 (2023): 36, https://doi.org/10.1007/s44196-023-00209-6. 2 and , “Ensemble and Fuzzy Kalman Filter for Position Estimation of an Autonomous Underwater Vehicle Based on Dynamical System of Auv Motion,” Expert Systems With Applications 68 (2017): 29–35.
Calibration of CFOSAT Off‐Nadir SWIM SWH Product Based on CNN‐LSTM Model
1 Introduction Ocean waves are characterized as dynamic disturbances in the ocean that transmit energy from one place to another. As an important parameter for wave description, significant wave height (SWH) is commonly defined as equivalently as four times the square root of the zeroth-order moment area of the wave spectrum (Holthuijsen, 2010).
A new disease mapping method for improving data completeness of syndromic surveillance with high missing rates
1 INTRODUCTION Syndromic surveillance is a type of public health surveillance that focuses on early monitoring and warning of infectious disease outbreaks. Unlike traditional surveillance that relies on laboratory confirmation of specific pathogens, syndromic surveillance utilizes nonspecific indicators or symptoms associated with a particular disease, such as emergency department visits, school absenteeism records, pharmacy sales, and social media monitoring.
Reconstruction of Wide Swath Significant Wave Height From Quasi‐Synchronous Observations of Multisource Satellite Sensors
1 Introduction Sea waves, a ubiquitous characteristic of ocean surface, play a significant role in various scenarios such as oil and gas exploration, marine transportation, and fisheries. Accurately acquiring wave dynamics parameters is crucial for effectively understanding sea waves.
YVG‐SLAM: Dynamic Feature Removal SLAM Algorithm Without A Priori Assumptions Based on Object Detection and View Geometry
References 1, . Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras. IEEE Transactions on Robotics 2017; 33: 1255–1262. 2, , . Vins-mono: A robust and versatile monocular visual-inertial state estimator. IEEE Transactions on Robotics 2018; 34: 1004–1020. 3, , , , . Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam. IEEE Transactions on Robotics 2021; 37: 1874–1890. 4, , . LSD-SLAM: Large-Scale Direct Monocular SLAM, 2014; pp. 834–849.
Multi factors-PredRNN based significant wave height prediction in the Bohai, Yellow, and East China Seas
1Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China 2Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China 3College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China 4Institute for Advanced Marine Research, China University...
Research on the Classification Method of Refrigerator Ingredients Based on Inception Structure
Abstract With the continuous development of intelligent refrigerators, users are having higher and higher requirements for smart management of refrigerator contents. When using traditional machine learning algorithms to deal with refrigerator ingredients classification, problems such as slow recognition speed and low accuracy would often arise. At the same time, the classification accuracy is easily affected by the location of the content.
Automatic Counting Method of Fry Based on Computer Vision
Abstract Nowadays, fish farming plays an essential role in aquaculture. In the process of fry sales, the traditional manual counting method takes a great deal of time. Because the fish are constantly moving in the water, they are difficult to count and are likely to be unnecessarily damaged. With the rise of computer vision, fry counting based on image processing is also developing. It has the advantages of having high accuracy and fast processing speed.
Instance segmentation ship detection based on improved Yolov7 using complex background SAR images
Muhammad Yasir1, Lili Zhan2*, Shanwei Liu1, Jianhua Wan1, Md Sakaouth Hossain3, Arife Tugsan Isiacik Colak4, Mengge Liu2, Qamar Ul Islam5, Syed Raza Mehdi6 and Qian Yang7 1College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China 2College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China 3Department of Geological Sciences, Jahangirnagar University, Dhaka, Bangladesh 4National University International...
Identification of marine oil spill pollution using hyperspectral combined with thermal infrared remote sensing
Junfang Yang1,2,3*†, Yabin Hu2,4†, Jie Zhang1,2,3,4, Yi Ma2,4, Zhongwei Li1 and Zongchen Jiang5 1College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, China 2Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao, China 3Technology Innovation Center for Maritime Silk Road Marine Resources and Environment Networked Observation, Ministry of Natural Resources, Qingdao, China 4First Institute of Oceanography, Ministry of Natural...
Prediction of significant wave height based on EEMD and deep learning
1. Introduction Waves are an important area of study in physical oceanography. Sea waves are highly influenced by environmental changes and the Earth system, especially waves due to climate change (Lobeto et al., 2021).
Tropical cyclone size estimation based on deep learning using infrared and microwave satellite data
1. Introduction Tropical cyclones (TCs), also known as typhoons, hurricanes, or cyclones are severe weather systems that form and develop over warm tropical oceans. TC landfall can pose a significant threat to life and property (Chen et al., 2018; Chen et al., 2020). Global TC warning centers routinely estimate the maximum radial extents of 34, 50, and 64 kt winds (R34, R50, and R64, respectively, where 1 kt = 0.514 m/s) for TC advisory and warning (Knaff et al., 2016; Kim et al., 2022).
Lightweight object detection algorithm based on YOLOv5 for unmanned surface vehicles
Jialin Zhang1,2, Jiucai Jin1*, Yi Ma1 and Peng Ren2 1First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China 2College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China Visual detection technology is essential for an unmanned surface vehicle (USV) to perceive the surrounding environment; it can determine the spatial position and category of the object, which provides important environmental information for path planning and...
Multi-scale ship target detection using SAR images based on improved Yolov5
Muhammad Yasir1, Liu Shanwei1, Xu Mingming1, Sheng Hui1, Md Sakaouth Hossain2, Arife Tugsan Isiacik Colak3, Dawei Wang1, Wan Jianhua1* and Kinh Bac Dang4 1College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China 2Department of Geological Sciences, Jahangirnagar University, Dhaka, Bangladesh 3National University International Maritime College Oman, Sahar, Oman 4Faculty of Geography, VNU University of Science, Vietnam National University, Hanoi,...
Seismicity-based 3D model of ruptured seismogenic faults in the North-South Seismic Belt, China
Yilin Rong1, Yongliang Bai1*, Mengjiao Ren1, Mingjian Liang2 and Zhenjie Wang1 1College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, China 2Sichuan Earthquake Administration, Chengdu, China The North–South Seismic Belt produces the most frequent strong earthquakes in the Chinese continental region, such as the MS 8.0 Wenchuan earthquake on 12 May 2008 and Ms 7.0 Lushan earthquake on 20 April 2013. This seismicity results in significant hazards.
Instance Segmentation Ship Detection Based on Improved Yolov7 Using Complex Background SAR Images
Muhammad Yasir1, Lili Zhan2*, Shanwei Liu3*, Wan Jianhua3, Md S.
Coastline extraction based on multi-scale segmentation and multi-level inheritance classification
Introduction The coastline is the dividing line between sea and land formed by the average high tide of the spring tide for many years (Boak and Turner, 2005; Lui et al., 2011). It is the basis for coastal zone management, as well as the baseline for ocean navigation and sea area determination.
Generative adversarial networks with adaptive normalization for synthesizing T2-weighted magnetic resonance images from diffusion-weighted images
Introduction Magnetic resonance imaging (MRI) has been used worldwide for the diagnosis of various conditions throughout the body, among which the brain and spine are the most effective. The magnetic field strength of MRI scanners has evolved from less than 0.5 T in the 1980s to the extensively used 1.5 and 3 T, and even 7 T (Van der Kolk et al., 2013; Lian et al., 2018). Different sequences of MR images from MRI scanners help doctors make more accurate decision.
Self-supervised learning for modal transfer of brain imaging
Introduction Brain imaging is crucial in the diagnosis and treatment of neurological diseases. The information provided by a kind of image obtained from an imaging method is limited, and it can only reflect modal information. Generally, it cannot help doctors to make an accurate diagnosis. Modal transfer technology is beneficial to transform different modal images to obtain multimodal information.
Study on the Activity Laws of Fishing Vessels in China’s Sea Areas in Winter and Spring and the Effects of the COVID-19 Pandemic Based on AIS Data
1 Introduction China is one of the largest maritime states and has the largest fishery catch in the world (FAO, 2020). However, with the continuous development of the fishery economy and the gradual transformation of the economic growth mode, there are certain blind spots in the development and utilization of fishery resources in China, and these shortcomings have led to serious declines in China’s fishery resources.
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