Ship and Air Target Dataset Based on Self-Reported Location Track Data

‍ ‍The track of a target is a typical time series that contains the points in a period of time arranged in time order. The track data contain the movement characteristics of the target. In the research of target tracking， identification， correlation， etc.， a large amount of track data is needed to support the experimental design. Based on the analysis of the actual environment and sensors， part of the current study explored and realized the simulation process of data to build simulation data that is as consistent as possible with the real world and used simulation data to verify the method. The other part of the study collected real data directly. Real data sets were constructed for experiments by accumulating and preprocessing real data. The simulation data were not convincing， and testing the performance of the proposed method in a real environment was difficult. However， few real data were disclosed， which increased the difficulty for researchers in obtaining real data and resulted in data blocking. Therefore， building and publishing a professionally standardized track data set was necessary. This study constructed and disclosed a sea and air target data set based on self-reported location track data to make up for the lack of a track data set. The data set comprised two parts： ship target track data and air target track data. The ship target track data originated from automatic identification system data， and the air target track data were obtained from automatic dependent surveillance-broadcast data. Through the long-term accumulation of two data types， the data preprocessing and data set construction processes were constructed according to the characteristics of the data， providing data support for ship and air target tracking， identification， correlation， and other algorithms. Moreover， this study provided the identification evaluation index and used the baseline algorithm to conduct the experiment and analysis， and the results showed the effectiveness of the data set.