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Polarimetric radar target recognition framework based on LSTM

Polarimetric radar target recognition framework based on LST...

引用

IET International Radar Conference 2018, IRC 2018

作者： Chen, Wei Zhang, Liang Song, Jia Wang, Yanhua Li, Yang School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

Polarimetric information is of great importance for radar target recognition. Conventional polarimetric features are hand-designed based on scattering mechanism. In this study, a novel polarimetric target recognition framework based on long-short-term memory (LSTM) network is proposed. The different polarimetric channels are regarded as the sequential inputs in LSTM, and the features are extracted automatically. Experimental results on dual-polarised high-resolution range profile recognition demonstrate that the features learnt by LSTM are more discriminating than conventional features. The recognition performance of the proposed method outperforms the state-of-the-art methods as well. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： Long short-term memory

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Dynamic mainlobe interference suppression method based on monopulse with gray model Kalman filter

Dynamic mainlobe interference suppression method based on mo...

引用

IET International Radar Conference 2018, IRC 2018

作者： Feng, Li Zhe, Zhang Di, Yao School of information and electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

The architecture and processing algorithm of mainlobe interference suppression method is described for nulling the signal from mainlobe electronic jammer and multiple sidelobe electronic jammers while maintaining monopulse angle estimation accuracy on the target. The existing mainlobe interference suppression method is based on monopulse Wiener filtering. However, the Wiener filtering is more suitable to remove static interference. Therefore, the authors present the dynamic mainlobe interference suppression method with Gray Model Kalman filter to resolve this problem. The simulations verify the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Kalman filters

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The implement of spaceborne SAR imaging system

The implement of spaceborne SAR imaging system

引用

IET International Radar Conference 2015

作者： Li, Yan Zhao, Boya Chen, Liang Chen, He Wang, Tao General Department China Academy of Space Technology Beijing100048 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

With the rapid development of FPGA parallel processing and DSP float-point computing capability, FPGA and DSP play an increasingly important role in the field of high-speed real-time synthetic aperture radar (SAR) signal processing system. In this letter, based on the SAR imaging needs and principles, taking chirp scaling algorithm for example, we design a spaceborne SAR real-time imaging heterogeneous system implemented by FPGA and DSP. The heterogeneous system uses modular thinking, pipeline and parallel processing techniques, which greatly improves the speed and operation precision in SAR imaging. Besides, the SAR imaging system has a good realtime performance, scalability and faulty tolerance and can well meet the needs of spaceborne SAR imaging system. The system needs 19.72s to generate a 4096∗4096 pixel image.

关键词： Synthetic aperture radar

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Tracking fluctuating targets in extremely heterogeneous clutter using amplitude information

Tracking fluctuating targets in extremely heterogeneous clut...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Feng Zhuo, Bangsheng Peng, Xiangjun Cheng, Miaomiao Yao, Di School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China

This study analyses the radar fluctuating target detection in G0-distributed clutter using dynamic programming - track before detect (DP-TBD) algorithm. G0-distributed clutter is often used to fit the complex circumstances. The authors use chi-square distribution to model the fluctuating targets. The log-likelihood ratio (LLR) is taken as the scoring function of DP-TBD. This study makes contribution to simplify the double integral into single integral in LLR and applies numerical integration with variable resolution to evaluating the LLR. Simulations prove the simplified integral equals the original integral and using LLR in DP-TBD is able to improve the performance of detecting fluctuating targets in G0-distributed clutter. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Dynamic programming

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A novel watershed segmentation method for SAR image

A novel watershed segmentation method for SAR image

引用

IET International Radar Conference 2015

作者： Shen, Jinjing Ma, Long Chen, Liang Chen, He Yu, Ying Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Information Science and Engineering Yunnan University Kunming650091 China

ISBN: (纸本)9781849199940

This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental results show that our proposed method outperforms the conventional methods in both accuracy and time consuming.

关键词： Synthetic aperture radar

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Nonparametric resampling for high-squint synthetic aperture radar imaging 5

Nonparametric resampling for high-squint synthetic aperture ...

引用

IET International Radar Conference 2020, IET IRC 2020

作者： Li, Linghao Wang, Yan Ding, Zegang Min, Rui School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China Beijing Institute of Technology of Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781839535635

Synthetic aperture radar (SAR) image resampling is a key technology for SAR image geometric correction, interferometric and tomographic registration. In some geometry like the high-squint (HS) case, image spectrum will be distorted, folded and therefore, existing resampling methods will fail due to the resulting serious image degradation. To solve this problem, we propose a general nonparametric image resampling method for SAR. The main contribution is the new non-parametric method of morphologically generating image-domain interpolation kernel, which can be theoretically applied for an arbitrary SAR image focused either on slant range plane or ground plane. The presented approach is evaluated by showing resampled image quality improvement via the computer simulations. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Ship detection and recognition combing one-dimensional range profile with SAR image

Ship detection and recognition combing one-dimensional range...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Yang Cheng, Miaomiao Peng, Xiangjun Zhuo, Bangsheng Li, Feng School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

Target detection and recognition are two important parts in image processing. As it is known to authors, target detection in synthetic aperture radar (SAR) image is usually processed on two-dimension, which is more complex than one-dimension. Here, the target detection in SAR image is achieved by two levels of one-dimensional target detection. Then, the range profiles of the suspected targets are obtained while the target region is detected. Based on the obtained range profiles, features are extracted and the classifier is used to distinguish the targets and others. Finally, a method of target recognition based on mid-level features is used here. Authors' method is applied on SAR ship data and the result shows that authors' proposed method works well on target detection. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Radar imaging

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Segmentation of oil spills in SAR image based on improved CV model

Segmentation of oil spills in SAR image based on improved CV...

引用

IET International Radar Conference 2015

作者： Tie, Wenjie Wang, Chonglei Bi, Fukun Shi, Hao Zhang, Xu Chen, He Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Electronic Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

Extracting the oil spills in SAR images has been challenged by the spatial heterogeneity caused by the speckles. In this paper, we present a novel variational formulation based on the local characteristics of SAR images for CV mode. The proposed method is aimed to solve the segmentation problem caused by SAR image speckles. Compared with the traditional CV model, the performance of the improved CV model is verified by plenty of real airborne SAR images and the experimental results on the real data show its efficiency and accuracy. By presenting various results in the classical threshold segmentation method and Markov random field method respectively, we conclude that the improved CV model is effective and accurate.

关键词： Synthetic aperture radar

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Plane detector based on P-N learning structure for video satellite

Plane detector based on P-N learning structure for video sat...

引用

IET International Radar Conference 2015

作者： Liu, Fuqiang Bi, Fukun Chen, Liang Wei, Hang Chen, Jing Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Electronic Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

With the rapidly development of video satellites, which provide sequential remote sensing images, amounts of data with high quality information are hunted to disposition. Object detection is one of the useful applications for video satellite and we focus on plane detection in this paper. Previous object detection methods focus on spatial structure rather than temporal information because they handle single image instead of video. We introduce a P-N learning structure dedicated to sensing video, which is firstly adopted in remote sensing video multi-object detection. We adapt a temporal management as P-expert and adapt a unique cascade classifier as N-expert. Our method use both structure information and temporal information, which make it more effective for sensing video. We detail each module and present an experiment to show the validity.

关键词： Satellites

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Context segmentation of oceanic SAR images: Application to oil spill detection

Context segmentation of oceanic SAR images: Application to o...

引用

IET International Radar Conference 2015

作者： Zhuang, Yin Chen, He Bi, Fukun Ma, Long Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Electronic Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

This paper introduces an algorithm based on the context of MRF (Markov random field) model, and this method achieved oil spilling detection and segmentation. In this paper, the two important elements are initial labelling field and potential parameter estimation. The algorithm model chooses optical pyramid of saliency map as initial label field and Ising model as segmentation function. Using the GMM (Gaussian Mixture Model) and MAP (Maximum a Posterior) get local optimal result by ICM (Iteration Condition Model) method. This paper is also deeply researching the potential parameter which is the impact factor in segmentation function. Through studying the relationship between potential function and every scale-levels of saliency pyramid, the paper gets the better result which is more accuracy segmentations and keeping more texture information. The series experiments prove this method having false alarming rejection and noise suppression function in Oceanic SAR images.

关键词： Synthetic aperture radar

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