Research on the Application of Spatiotemporal Feature Analysis in Radar Target Classification

This paper explores the application of spatiotemporal feature analysis in radar target classification. Radar technology, as an important remote sensing tool, is widely used in both military and civilian fields. Target classification technology is crucial for enhancing the intelligence and target recognition capabilities of radar systems. This paper employs spatiotemporal feature analysis methods to thoroughly analyze the motion trajectories of targets in radar echoes. Traditional signal processing methods were used to extract detailed temporal features, spatial distribution characteristics, and reflection properties of the targets, including motion speed, acceleration, positional information, radar cross-section (RCS) values, height, and both mean and variance of RCS. Based on these features, an expert system was designed, which can effectively handle target classification tasks under multi-feature conditions, significantly improving classification accuracy and robustness. The results of this study not only theoretically enrich the application of spatiotemporal feature analysis methods in radar target classification but also provide in-depth technical support and guidance for practical applications.