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检索条件"机构=Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab"

共 205 条记录，以下是121-130 订阅

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Distorted SAR target recognition with virtual SVM and AP-HOG feature

Distorted SAR target recognition with virtual SVM and AP-HOG...

引用

IET International radar Conference (IET IRC 2020)

作者： D. Yao Z. Liu F. Li Y. Li School of Information and Electronics Beijing Institute of Technology Radar Research Laboratory Beijing 100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing 100081 China

Synthetic aperture radar (SAR) plays an indispensable role in national defence and civil fields due to its unique advantages. Although many methods have been proposed, the recognition to SAR images still faces many difficulties, especially to distorted images. This paper first improves the morphological methods attribute profiles (APs) which is widely employed with optical, and hyperspectral images in particular. We combine the APs method with histogram of oriented gradients (HOG) feature (called AP-HOG) to make it suitable for SAR images. Then, the SVM model is used to identify the labelled samples (i.e., Support Vectors) that are closest to the separating hyperplane with maximum margin. We generate different degrees of distorted images based on support vectors, and use the distorted image and the support vector as a new training set for retraining to improve the recognition effect of the distorted image. Finally, we perform experimental verification based on the MSTAR dataset, which proves the effectiveness of the proposed method.

关键词： feature extraction synthetic aperture radar support vector machines radar imaging image recognition object detection image classification

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SAR target recognition combining class information and classification hyperplane

SAR target recognition combining class information and class...

引用

IET International radar Conference (IET IRC 2020)

Automatic target recognition (ATR) in synthetic aperture radar (SAR) images plays an important role. An important step in SAR target recognition is to transform the raw data to a feature space with the property of within-class compactness and between-class separation. However, due to the problem of target aspect angle sensitivity in SAR images, the difference of some targets belonging to the same class in different poses is greater than the difference of targets belonging to different class in similar poses, which often causes misjudgement. To solve this problem, we first use the twin support vector machine (TWSVM) to obtain the classification hyperplane of each class. Then, based on the obtained hyperplane, the projection matrix is constructed by fusing the prior class information of the target. In this way, the sample can be close to the classification hyperplane of the same class and distant from the classification hyperplane of a different class. This algorithm can improve TWSVM's ability to classify SAR images. Experiments are conducted on the moving and stationary target acquisition and recognition (MSTAR) database. The results verify the effectiveness of the proposed algorithm.

关键词： support vector machines image recognition pattern classification radar target recognition feature extraction image classification radar imaging synthetic aperture radar

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Analysis and identification of continuous line target in SAR echo based on sidelobe features

Analysis and identification of continuous line target in SAR...

引用

IET International radar Conference 2018, IRC 2018

作者： Wei, Yangkai Chen, Xinliang Fan, Yujie Ding, Zegang Wen, Cheng Radar Research Lab School of Information and Electronics Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

There are a large number of continuous line targets in the synthetic aperture radar (SAR) images of land scenes. The traditional SAR processing, which makes the continuous line targets becomes two point targets in traditional SAR images, cannot reveal the complete features of continuous line targets and cause enormous difficulties for SAR image interpretation. This study analyses the reason why traditional SAR processing cannot embody the edge characteristics of continuous line targets based on the sidelobe features of the SAR echo. The authors propose a new identification method based on the difference of the echo amplitude between continuous line target and point targets, which will help to interpret the continuous line targets in SAR images. Numerical simulation experiment based on the classical strip SAR validates the effectiveness of the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Hierarchical ship detection method for space-borne SAR image

Hierarchical ship detection method for space-borne SAR image

引用

IET International radar Conference 2018, IRC 2018

作者： Tang, Wei Zhao, Baojun Tang, Linbo Nan, Jinghong Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

Ship detection from space-borne SAR image is a challenging task. The main challenges in this task include the disturbance of sea clutter, island, coastline, and variability in ship sizes. Here, the authors propose a novel hierarchical ship detection framework to overcome the above challenges. Initially, the edge-enhanced maximally stable extremal regions (E-MSER) is employed as ship candidates. Then, through some simple shape analysis, they can eliminate the obvious false alarms which are not conformed to the shape feature of ship. Finally, candidates are represented by an effective multiple features learning framework for discriminating true ship targets. Experimental results on numerous space-borne SAR images demonstrate their proposed scheme that outperforms other traditional methods with higher detection accuracy and lower false alarm. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Point spread character based low SNR single pixel infrared target detection

Point spread character based low SNR single pixel infrared t...

引用

IET International radar Conference 2018, IRC 2018

作者： Nan, Jinghong Zhao, Baojun Tang, Linbo Zhang, Zengshuo Tang, Wei Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

Robust and efficient low signal-to-noise ratio (SNR) single pixel infrared (IR) target detection has been a key technique in IR searching and tracking system. However, there exist two critical difficulties, i.e. noise disturbance and low contrast between target and background, influencing detection accuracy. A novel IR target detection method is proposed to overcome those difficulties, by utilising the point-spread character. Specifically, a point-spread indicator is advocated to protect the potential target with the median filter to suppress the noise. Afterwards, a two-step enhancement model is built to increase the contrast value between target region and surrounding background effectively. In the first step, a point-spread local contrast method is proposed to enhance targets and suppress background. In the second step, a high boost filter is introduced to further enhance the target. In addition, an adaptive segmentation method is exploited to extract targets from the enhanced image. Experimental results on testing sequences demonstrate that this method outperforms the other state-of-the-art methods in single pixel IR target detection with higher detection rate, lower false alarm rate and less time consuming. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Median filters

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Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images

Parameter inversion algorithm of CSAR moving target based on...

引用

IET International radar Conference 2018, IRC 2018

作者： Yao, Di Wang, Zhou Yang, Wengu Li, Feng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

Circular SAR (CSAR) as a new kind of SAR imaging mode has the advantage of long-time observation. For the moving target, the corresponding parameters of the moving target can be calculated by using the position information from the apparent coordinates of the moving target in these CSAR sub-aperture images. The CSAR sub-aperture imaging algorithms include BP and PFA, and the existing parameter estimation model is established on those well-focused and localised images. However, they account for a substantial computation. Here, an improved algorithm for parameter estimation based on CSAR sub-aperture images obtained by PFA is proposed. The wave-front phase error compensation is abandoned, and a new parameter estimation model is established based on PFA images with geometric positioning error. The computational complexity of the whole process of the algorithm is reduced, and the practicability is improved. The point target simulation shows that the method is effective and accurate. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Rotation error analysis on slant 45° dual polarisation radar feature extraction

Rotation error analysis on slant 45° dual polarisation rada...

引用

IET International radar Conference 2018, IRC 2018

作者： Zhang, Liang Wang, Yanhua Li, Yang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

Polarisation is an inner property of electromagnetic wave. It has considerable significance to analyse the polarimetric feature of targets in target recognition and classification applications. Slant 45° dual polarisation measurement is widely used due to its low requirements on system complexity and data rate on the one hand, and good polarisation measure and anti-interference capabilities on the other. However, its performance is seriously affected by rotation angle of the polarisations in transmission and reception. Here, the impact of rotation error of the transmit-receive polarisations on feature extraction is assessed by theoretical derivation at first. The variations with rotation angles of the transmit-receive polarisations are then simulated using standard scatterers and ground targets data. This permits quantification of the resulting rotation error on slant 45° dual polarisation measurement. The impact of the rotation error on H/α and polarimetric similarity features is also quantified in results. Some practical advices on system design, calibration, and feature application are given at last. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Rotation

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Circular SAR imaging algorithm based on polar format algorithm for moving target

Circular SAR imaging algorithm based on polar format algorit...

引用

IET International radar Conference 2018, IRC 2018

作者： Wang, Zhou Li, Feng Peng, XiangJun Yao, Di Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

For stationary targets, circular synthetic aperture radar (CSAR) imaging has tended to be mature and perfect. However, for moving targets, due to the long synthetic aperture and the variation of slant plane with the observation angle, the motion compensation is more complicated and has no effective approach. Based on the latest moving target trajectory reconstruction method in CSAR (2015), the polar format algorithm can be improved to image the moving targets when the motion parameters have been estimated. First, the authors placed the imaging reference point on the target to track it, and then compensated for the phase error caused by the incident angle changing and the wavefront curvature. The simulation results of point show that the algorithm is effective and accurate. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Motion compensation

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Imaging algorithm for multi-channel scan synthetic aperture radar with channel error estimation and compensation

Imaging algorithm for multi-channel scan synthetic aperture ...

引用

IET International radar Conference 2018, IRC 2018

作者： Xiao, Feng Ding, Zegang Ke, Meng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China

The wide swath synthetic aperture radar (SAR) imaging with a fine resolution is fundamentally a contradiction in conventional SAR imaging. To meet the demand of high-resolution width swath (HRWS) imaging, multi-channel scan mode has received a great deal of attention as a promising concept to realise HRWS observation. In this article, based on extended Chirp Scaling algorithm, an imaging algorithm for multi-channel scan SAR is proposed. Furthermore, channel error estimation and compensation are the key point in multi-channel scan imaging and are integrated into the proposed imaging algorithm. The computer simulation is shown to verify the presented imaging algorithm. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Error compensation

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Efficiency balanced matrix transpose method for sliding spotlight SAR imaging processing

Efficiency balanced matrix transpose method for sliding spot...

引用

IET International radar Conference 2018, IRC 2018

作者： Sun, Tianyuan Xie, Yizhuang Li, Bingyi Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

Matrix transposition is a very critical operation in synthetic aperture radar (SAR) imaging systems. This study presents an improved corner turning memory solution for real-time SAR imaging processing. Based on the sub-matrix three-dimensional mapping method, the efficiency of matrix transposing is greatly increased. However, in sliding spotlight mode, a novel SAR imaging mode, the amount of raw data is increased too large to directly use the above method. In this study, a joint address mapping strategy for two pieces of double data rate 3 synchronous dynamic random-access memory is used to meet the needs of the amount of data and make up for the lack of original method. The experimental results show that this method can get an improved and balanced two-dimensional access efficiency for sliding spotlight mode SAR imaging processing. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Mapping

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