Application of feature modelling method based on SAR image in target interpretation

Abstract

This study starts with the engineering modelling of SAR image features, analyses the platform elements that affect the image features, and designs the acquisition flow of samples and parameters. The two-dimensional SAR image of the target is processed by three-dimensional inverse projection and projected to the geometric model of the candidate target, and the three-dimensional inverse projection scattering graph of the target is obtained. At the same time, the high-frequency electromagnetic scattering calculation method is used to predict the 3D hot spot distribution of each candidate target, to improve the recognition accuracy of the target, and to achieve the goal of target interpretation. The actual results show that the target interpretation method based on SAR imaging feature modelling proposed here can effectively improve the target recognition rate .

Keywords

• radar imaging
• synthetic aperture radar
• feature extraction
• electromagnetic wave scattering
• geometric model
• candidate target
• three-dimensional inverse projection scattering graph
• high-frequency electromagnetic scattering calculation method
• 3D hot spot distribution
• target interpretation method
• SAR imaging feature modelling
• target recognition rate
• engineering modelling
• SAR image features
• platform elements
• acquisition flow
• samples
• parameters
• two-dimensional SAR image