SAR image target recognition method based on multilayer probability statistics model

A probabilistic statistical model and target recognition technology, applied in the field of SAR image target recognition based on multi-layer probabilistic statistical model, can solve the non-negative feature extraction method that cannot obtain effect, does not use category information, and does not involve multi-layer probabilistic statistical model etc. to achieve the effect of reducing the complexity of network parameters, improving the performance and stability of target recognition, and good representation ability
CN107423705AInactive Publication Date: 2017-12-01XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2017-12-01
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an SAR image target recognition method based on a multilayer probability statistics model, so as to solve the problem that when input SAR image data has non-negativity in the existing method, only single-layer non-negative features of an SAR image can be extracted. The method comprises steps: a training set and a test set for the multilayer probability statistics model are built; parameters of the multilayer probability statistics model are initialized; a joint learning mode is used to train the multilayer probability statistics model, and a global variable is saved; the joint learning mode is used to test the multilayer probability statistics model, and all parameters of the model are obtained for subsequent recognition; and the parameters obtained by test are used for target recognition. Based on the multilayer probability statistics model, the joint learning mode is used to train and test the model, the SAR image feature extraction and target recognition are carried out, the model parameter complexity is reduced, the multilayer non-negative features of the SAR image are extracted, the SAR image target recognition performance and the stability are improved, and the method of the invention is used for carrying out target recognition on the SAR image.
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Description

technical field

[0001] The invention belongs to the technical field of SAR image target recognition, and in particular relates to SAR image feature extraction, in particular to a SAR image target recognition method based on a multi-layer probability statistical model, which can be used for SAR image feature extraction and SAR image target recognition. Background technique

[0002] SAR image target recognition has important military value and commercial value, and has been a hot research topic at home and abroad. Although the field of target recognition has been greatly developed in recent years, it is still a challenging task to complete SAR image target recognition accurately and quickly. Feature extraction is a very critical step in SAR image target recognition. The quality of the extracted features directly affects the recognition performance of SAR image targets. Therefore, it is necessary to carry out meaningful feature extraction on SAR images to improve the performanc...

Claims

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