Inverse-synthetic-aperture-radar (ISAR) space-target classification method and system

Abstract

The embodiment of the invention relates to an inverse-synthetic-aperture-radar (ISAR) space-target classification method and system, and belongs to the technical field of radar. The method includes: determining intensity information and location information of target scattering points in a collected target ISAR image according to the target ISAR image; determining feature information of the targetISAR image according to the location information and a preset distribution rule, wherein the feature information includes geometric structure feature information and scattering distribution feature information; determining a feature vector according to the intensity information, the geometric structure feature information and the scattering distribution feature information; and determining a category of a space target, which corresponds to the target ISAR image, according to the feature vector and a preset classifier. Through the technical solution provided by the embodiment, on the one hand,technical drawbacks that classification recognition effects in the prior art are not good, and limitation is large are avoided; and on the other hand, technical effects of precision and high efficiency of classification on the space object are realized.

Description

technical field [0001] Embodiments of the present invention relate to the field of radar technology, in particular to an inverse synthetic aperture radar space target classification method and system. Background technique [0002] With the development of aerospace technology, space-based systems such as satellites have played an increasingly important role in national military and security. The development of the United States is highly dependent on space systems. However, the extensive research, development and application of space on-orbit operation technology has brought greater challenges to space security. In order to improve space security and strengthen surveillance of space targets, the classification of space targets (satellite targets and space debris targets) are becoming more and more urgent. [0003] Inverse Synthetic Aperture Radar (Inverse Synthetic Aperture Radar, ISAR), as a high-resolution two-dimensional imaging device, can obtain high-range resolution by...

AI Technical Summary

Problems solved by technology

Similar to contour features, the effectiveness of regional features depends on the segmentation of the target area, while the imaging mechanism and scattering characteristics of ISAR images make the target area blurred and the parts are defective, which affects its classification and recognition effect.

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