DOI: 10.57760/sciencedb.radars.00046
title: Marine Target Data Sharing Program(MTDSP)——Multisource Observation Dataset of Marine Targets
title: 海上目标数据共享计划(MTDSP)——海上目标多源观测数据集

description: Radar sea detection data - The multi-source observation test dataset for sea targets covers 7 typical types of sea targets, including dry cargo ships, liquid cargo ships, container ships, passenger ships, fishing boats, engineering ships, and search and rescue ships, with 4 groups per type, totaling 28 sets of data (ZIP files), with a total data volume of approximately 42GB. The data content includes multi-source observation information, including radar HH/VV polarized intermediate frequency/video echoes, visible light and infrared images, target trajectories (radar and AIS), and meteorological and hydrological parameters (wind speed, wind direction, wave height, wave direction), covering different sea conditions, weather conditions, and target movement states. It has high spatiotemporal resolution and data integrity, providing high-quality data support for maritime target detection, recognition, and motion analysis research. The data collection equipment is installed at the first beach in Yantai. The radar adopts a circular scanning mode for long-term continuous observation, and dynamically intercepts local area data based on real-time target position information to optimize storage and parsing efficiency and reduce redundant data burden. The optoelectronic device is in passive mode, receiving real-time target distance, azimuth, and elevation information provided by the radar, and automatically adjusting its own parameters to ensure accurate alignment of multi-source data. This dataset is suitable for research directions such as analysis of maritime target characteristics, intelligent recognition, and target tracking. After the data is uploaded, it will be accompanied by a multi-source observation data analysis software (V1.0) for sea targets, which supports efficient data analysis and analysis, providing important support for related academic research and engineering applications. Reference format for this dataset: [1] LIU Ningbo, LI Jia, WANG Guoqing, et al. Sea-detecting Radar Experiment and Target Feature Data Acquisition for Multi-source Observation Data Set of Marine Targets [J]. Journal of Radars, in press. DOI: 10.12000/JR25001.[2] GUAN Jian, LIU Ningbo, WANG Guoqing, et al. Sea-detecting radar experiment and target feature data acquisition for dual polarization multistate scattering dataset of marine targets[J]. Journal of Radars, 2023, 12(2): 456–469. doi: 10.12000/JR23029[3]LIU Ningbo, DING Hao, HUANG Yong, et al. Annual Progress of Sea-detecting X-band Radar and Data Acquisition Program[J]. Journal of Radars, 2021, 10(1), doi: 10.12000/JR21011[4] LIU Ningbo, DONG Yunlong, WANG Guoqing, et al. Sea-detecting X-band radar and data acquisition program[J]. Journal of Radars, 2019, 8(5): 656–667. doi:10.12000/JR19089
description: Radar sea detection data - The multi-source observation test dataset for sea targets covers 7 typical types of sea targets, including dry cargo ships, liquid cargo ships, container ships, passenger ships, fishing boats, engineering ships, and search and rescue ships, with 4 groups per type, totaling 28 sets of data (ZIP files), with a total data volume of approximately 42GB. The data content includes multi-source observation information, including radar HH/VV polarized intermediate frequency/video echoes, visible light and infrared images, target trajectories (radar and AIS), and meteorological and hydrological parameters (wind speed, wind direction, wave height, wave direction), covering different sea conditions, weather conditions, and target movement states. It has high spatiotemporal resolution and data integrity, providing high-quality data support for maritime target detection, recognition, and motion analysis research. The data collection equipment is installed at the first beach in Yantai. The radar adopts a circular scanning mode for long-term continuous observation, and dynamically intercepts local area data based on real-time target position information to optimize storage and parsing efficiency and reduce redundant data burden. The optoelectronic device is in passive mode, receiving real-time target distance, azimuth, and elevation information provided by the radar, and automatically adjusting its own parameters to ensure accurate alignment of multi-source data. This dataset is suitable for research directions such as analysis of maritime target characteristics, intelligent recognition, and target tracking. After the data is uploaded, it will be accompanied by a multi-source observation data analysis software (V1.0) for sea targets, which supports efficient data analysis and analysis, providing important support for related academic research and engineering applications. Reference format for this dataset: [1] LIU Ningbo, LI Jia, WANG Guoqing, et al. Sea-detecting Radar Experiment and Target Feature Data Acquisition for Multi-source Observation Data Set of Marine Targets [J]. Journal of Radars, in press. DOI: 10.12000/JR25001.[2] GUAN Jian, LIU Ningbo, WANG Guoqing, et al. Sea-detecting radar experiment and target feature data acquisition for dual polarization multistate scattering dataset of marine targets[J]. Journal of Radars, 2023, 12(2): 456–469. doi: 10.12000/JR23029[3]LIU Ningbo, DING Hao, HUANG Yong, et al. Annual Progress of Sea-detecting X-band Radar and Data Acquisition Program[J]. Journal of Radars, 2021, 10(1), doi: 10.12000/JR21011[4] LIU Ningbo, DONG Yunlong, WANG Guoqing, et al. Sea-detecting X-band radar and data acquisition program[J]. Journal of Radars, 2019, 8(5): 656–667. doi:10.12000/JR19089