SAR image target identification method based on authentication non-linear dictionary learning

Abstract

The invention discloses a SAR image target identification method based on authentication non-linear dictionary learning. The SAR image target identification method is mainly used for solving the problem of the prior art of low identification precision. The SAR image target identification method is characterized in that 1, a training set SAR amplitude image random face characteristic is extracted, and is used as a training sample, and is mapped to a projection space in a non-linear way; 2, an authentication code matrix is built according to the category number of the training sample; 3, an authentication characteristic training linear SVM classifier is acquired by using the authentication non-linear dictionary learning; 4, a to-be-tested SAM amplitude image random face characteristic is extracted, and is used as a testing sample, and is mapped to the projection space; 5, trained dictionaries are renormalized, and the sparsity of the testing sample, which is acquired by using a KOMP method, is used to express a vector; 6, the authentication characteristic of the testing sample is extracted, and is input in the trained SVM classifier, and then the category of the target in the to-be-tested SAM amplitude image is acquired. The SAR image target identification method is advantageous in that the precision of the target identification is improved, and the SAR image target identification method is used for the classification identification of the target in the SAR image.

Description

technical field [0001] The invention belongs to the technical field of radar target recognition, and relates to a SAR image target recognition method, which is suitable for classification and recognition of targets in the SAR image. Background technique [0002] Since the development of radar imaging technology in the 1950s, the technology has been continuously matured. Synthetic Aperture Radar (SAR), as an imaging radar, is an important part of modern radar technology. SAR has all-weather, all-time, multi-polarization, multi-angle, high-resolution observation capabilities, can provide a lot of valuable information, and has been widely used. Therefore, the target recognition technology of SAR images has become a research hotspot in the field of radar. [0003] The main idea of ​​the SAR image target recognition method based on dictionary learning is: use the training samples to learn the dictionary during training, and use the sparse representation of the test samples on t...

AI Technical Summary

Problems solved by technology

However, this type of method still aims to minimize the reconstruction error, and the objective function does not directly reflect the constraints on classification performance, so it is difficult to obtain higher SAR image target recognition accuracy

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