Method for tracking target of interest based on shadow Video-SAR (Synthetic Aperture Radar)

A technology of interested targets and shadows, which is applied in the field of interested target tracking based on shadow Video-SAR, can solve the problems of high false alarm rate and low tracking accuracy, and achieve suppression of false alarms, improvement of tracking accuracy, and stable grayscale characteristics Effect

Active Publication Date: 2022-04-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0007] The invention belongs to the technical field of synthetic aperture radar (SAR) image interpretation, and discloses a method for tracking an interested target based on shadow Video-SAR, which is used to solve the problems of high false alarm rate and low tracking accuracy

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  • Method for tracking target of interest based on shadow Video-SAR (Synthetic Aperture Radar)
  • Method for tracking target of interest based on shadow Video-SAR (Synthetic Aperture Radar)
  • Method for tracking target of interest based on shadow Video-SAR (Synthetic Aperture Radar)

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Embodiment Construction

[0123] Attached below figure 1 The present invention is further described in detail.

[0124] Step 1. Prepare the dataset

[0125] The Sandia National Laboratory dataset is obtained from the classic Sandia National Laboratory dataset in Definition 1. The Sandia National Laboratory dataset is divided into two parts according to the ratio of 751:148 in time order, and the training set and test set are obtained. The training set contains the first 751 pictures, denoted as Train, and the test set contains the last 148 pictures, denoted as Test.

[0126] Step 2. Data preprocessing

[0127] Using the traditional image cropping and scaling method in Definition 2, process the training set Train obtained in step 1, and obtain the network input picture pair (template area, detection area), denoted as (z, x), where the template area z Indicates the processing result of the previous frame image using the traditional image cropping and scaling method in Definition 2, where the detection...

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Abstract

The invention discloses a shadow Video-SAR (Synthetic Aperture Radar)-based interested target tracking method, which is characterized in that a brand new network, namely a guidance anchor twin network, is established, the guidance anchor twin network comprises three parts, namely a twin sub-network, a guidance anchor sub-network and a similarity learning sub-network, and by utilizing the advantages that an SAR image moving target shadow gray scale characteristic is stable, the position does not deviate and the like, the target tracking accuracy is improved. Therefore, the shadow-based Video-SAR random interested moving target tracking is realized. And meanwhile, a guide anchor network (GA-SubNet) is used for improving the tracking precision, suppressing a false alarm and generating a sparse anchor which is more in line with an SAR moving target shadow shape. The tracking precision of the method on a known Sandia national laboratory data set is 60.16%, and the tracking speed is 32 frames per second. Compared with other advanced video-SAR moving target tracking technologies, the video-SAR moving target tracking method has the advantage that high video-SAR moving target tracking precision is realized.

Description

technical field [0001] The invention belongs to the technical field of synthetic aperture radar (Synthetic Aperture Radar, SAR) image interpretation, and relates to a method for tracking an interested target in a shadow-based Video-SAR. Background technique [0002] Synthetic Aperture Radar (SAR) is an active remote sensing technology that can work all day and all day. Compared with optical sensors, SAR can penetrate clouds and fog, and can also complete observation tasks under severe weather conditions. SAR has become an important means of earth observation today, and it has been more and more widely used in the national economy such as terrain image generation, target detection and reconnaissance, land resource exploration and natural disaster monitoring. For details, please refer to the literature "Zhang Qingjun, Han Xiaolei, Liu Jie. Progress and development trend of spaceborne synthetic aperture radar remote sensing technology [J]. Spacecraft Engineering, 2017, 26(06):...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06V10/20G06V10/40G06V10/764G06K9/62G06N3/04G06N3/08
Inventor 张晓玲王宝有鲍金宇张天文师君
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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