SAR (Synthetic Aperture Radar) imaging processing method and device for machine learning and readable storage medium
A technology of machine learning and imaging processing, applied in the information field, can solve the problems of poor applicability of SAR imaging processing methods, and achieve the effect of saving time and economic costs and wide applicability
Active Publication Date: 2022-06-24
HUNAN NORMAL UNIVERSITY
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[0005] The purpose of this application is to provide a SAR imaging processing method, so as to solve the problem of poor applicability of the current SAR imaging processing method
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[0046] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative work fall within the protection scope of the present application.
[0047] The core of this application is to provide a SAR imaging processing method based on machine learning, so as to solve the problem of poor applicability of the current SAR imaging processing method.
[0048] In order to make those skilled in the art better understand the solution of the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.
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The invention discloses an SAR imaging processing method and device for machine learning and a readable storage medium, and relates to the technical field of information. According to the SAR imaging processing method based on machine learning provided by the invention, the machine learning model is introduced, after the data acquired by the airborne SAR is acquired, the application scene corresponding to the data is processed and screened out through the learning model, then the imaging processing method is determined according to the classification of the application scene, and the acquired data is subjected to imaging processing to obtain the imaging result. Compared with an existing special SAR imaging processing mode, due to the fact that the machine learning model is introduced in the method, the SAR imaging processing mode can be determined through classification of any collected and obtained data by the learning model, and data processing is carried out to generate the corresponding image. Therefore, the scheme provided by the invention does not need to configure an imaging processing method in advance when normal business is carried out, and the corresponding image can be automatically generated only by carrying out data acquisition, so that the applicability is relatively wide.
Description
technical field [0001] The present application relates to the field of information technology, and in particular, to a machine learning SAR imaging processing method, device and readable storage medium. Background technique [0002] In recent years, with the development of UAV technology and imaging technology, airborne synthetic radar (Synthetic Aperture Radar, SAR) can realize the combination of the advantages of aircraft platform and SAR. It also has the advantages of strong maneuverability and convenient use of the flight platform, and has become an imaging detection method that can meet emergency needs such as emergency rescue and disaster relief and military operations. [0003] Existing SAR imaging processing methods are usually aimed at special scenes or professional purposes, and the analysis and processing systems used for specific scenes perform imaging processing. Therefore, the main data to be collected are different, and because of different application scenar...
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IPC IPC(8): G01S13/90G01S7/41G06V20/17G06V10/70G06V10/762G06V10/764G06V10/77G06V10/774G06V10/82G06N3/04G06N3/08G06K9/62
CPCG01S13/9021G01S7/41G06N3/08G06N3/045G06F18/285G06F18/213G06F18/23G06F18/24G06F18/214
Inventor 田海山吴袁裕宋济慈黄亚维汪良会
Owner HUNAN NORMAL UNIVERSITY