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检索条件"机构=Beijing Key Laboratory of Embedded•Real-Time Information: Processing Technology"

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Optical Remote Sensing Image Waters Extraction technology Based on Deep Learning Context-Unet

Optical Remote Sensing Image Waters Extraction Technology Ba...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Yan, Ruoda Dong, Shan Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Engineering Center of Digital Audio and Video Communication University of China Beijing100024 China

ISBN: (纸本)9781728123455

The optical remote sensing images are used to sea-land segmentation which is a difficult task. Due to general deep learning based methods required a large number of refined annotation, however, a large scale optical remote sensing images annotation is very expensive. Therefore, the Context-Unet is proposed to produce accurate sea-land segmentation results by a few annotated training samples. In this paper, we apply the Context-Unet network to the watershed extraction. On the basis of this, we re-compile the loss function to improve the accuracy of watershed extraction. Example: Finally, the date collected from Google Earth service is used to train and test this paper proposed Context-Unet and state-o-the-art methods. The experiments proved that the proposed method outperforms than other methods, and it can achieve 98% precision and 97% recall ratios. © 2019 IEEE.

关键词： Object detection

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An improved inverse synthetic aperture radar range alignment method based on maximum contrast

An improved inverse synthetic aperture radar range alignment...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Yong Zhang, Tianyi Ding, Zegang Gao, Wenbin Chen, Jing 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

Inverse synthetic aperture radar (ISAR) is an important tool for non-cooperative ship imaging, and one key step of ISAR imaging is range alignment. To achieve the range alignment with high precision, efficiency and robustness, an improved ISAR range alignment method based on maximum contrast is proposed in this paper, which takes the maximum contrast of average range profile as the optimisation criterion to perform the range alignment. Compared with the minimum entropy method, this method is with lower computation complexity and faster convergence rate. Thus the method proposed in this article is more effective and more robust. Computer simulation and real data experiment validate the effectiveness and robustness of the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Inverse synthetic aperture radar

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Generation scheme of chirp scaling phase functions based on floating-point CORDIC processor

Generation scheme of chirp scaling phase functions based on ...

引用

IET International Radar Conference 2018, IRC 2018

作者： Fang, Linlin Xie, Yizhuang Li, Bingyi Chen, He 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

This study presents a chirp scaling (CS) phase function generation scheme based on CORDIC algorithm, it adopts single precision floating-point CORDIC processor to implement a variety of non-linear operations which are involved in CS synthetic aperture radar (SAR) imaging algorithm. We extend the range of convergence of CORDIC algorithm and reduce the data width in rotation unit module by adopting a hardware resource reduction scheme. We also adopt a unified CORDIC processor to achieve square root, multiplication, and division operation, which can substitute multiple single-function processors and simplify the complicate arithmetic in CS algorithm. As a proof of concept, we verify the performance of the proposed design scheme on Xilinx XC7VX690T FPGA platform, it is also applied to 16384 × 16384 points target SAR imaging system, the FPGA resource occupancy of the CS phase function generation module demonstrates that the usage of CORDIC processor can effectively save the consumption of hardware resources, and the maximum operating frequency is acceptable. The accuracy of phase functions can satisfy the engineering requirements. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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realization of fixed-point SAR imaging based on embedded GPU

Realization of fixed-point SAR imaging based on embedded GPU

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Li, Huixing Gao, Zixin Li, Bingyi Xie, Yi Zhuang 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 Institute of Technology Beijing China Beijing Institute of Radio Measurement Beijing China

ISBN: (纸本)9781728123455

Aiming at the problem of insufficient memory in the real-time processing of SAR imaging on embedded TX2, this paper studies a design optimization scheme of fixed-point imaging algorithm on TX2. In order to ensure the accuracy, this paper only performs fixed-point processing on the FFT. According to the characteristics of the algorithm, the memory multiplexing method is adopted to effectively reduce the occupation of the work area buffer. A large number of registers are used to improve computing performance. The results show that the fixed-point FFT processing scheme can achieve a hundred times faster than the Intel Xeon CPU, and the memory footprint is less. © 2019 IEEE.

关键词： Fast Fourier transforms

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Polarisation-space-time adaptive processing for heterogeneous clutter suppression of airborne-phased array radar

Polarisation-space-time adaptive processing for heterogeneou...

引用

IET International Radar Conference 2018, IRC 2018

作者： Sun, Yuze Yang, Jian Yang, Xiaopeng Department of Electronic Engineering Tsinghua University Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronic Beijing Institute of Technology Beijing China

Conventional space-time adaptive processing (STAP) achieves clutter suppression by combining spatial signals and the temporal pulses. However, extreme slow-moving target cannot be effectively detected by space-time joint filtering in ambiguous and non-broadside clutter environment for airborne-phased array radar. By increasing the polarisation information in clutter suppression, improved moving target detection performance can be obtained by the polarisation-space-time adaptive processing (P-STAP). In this study, the performance of P-STAP for airborne-phased array radar is analysed. The polarised signal model of airborne-phased array radar is firstly established and then clutter suppression principle of P-STAP is derived in detailed. Afterwards, the performance of P-STAP is investigated and compared with conventional STAP in ambiguous clutter environment. It is verified that the P-STAP can outperform the conventional STAP for slow moving target detection by three-domain joint processing, especially for ambiguous and non-broadside clutter environment for airborne-phased array radar. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Space time adaptive processing

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Adaptive signal suppression based on modified PCA for a single-point radiation source in radar networks

Adaptive signal suppression based on modified PCA for a sing...

引用

IET International Radar Conference 2018, IRC 2018

作者： Miao, Yingjie Liu, Feifeng Tian, Lun Liu, Quanhua School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

In order to realise effective target detection with a large baseline radar network interfered by a single radiation source, an adaptive processing method derived from traditional principal component analysis (PCA) and array signal processing theory is proposed in this study. First, the signal model for target detection with a large baseline radar system in an interference environment is established. Second, based on the characteristics of the signal model, an adaptive suppression method composed of high-precision delay alignment and modified PCA is proposed. Finally, the effectiveness of the method in a typical environment is verified by simulation. The results show that this method can accumulate target energy effectively and realise reliable detection in such case, which has great application prospects. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Principal component analysis

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Target recognition in synthetic aperture radar image based on PCANet

Target recognition in synthetic aperture radar image based o...

引用

IET International Radar Conference 2018, IRC 2018

作者： Qi, Baogui Jing, Haitao Chen, He Zhuang, Yin Yue, Zhuo Wang, Chonglei Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Shanghai Institute of Satellite Engineering Shanghai200240 China

Automatic targets recognition (ATR) for synthetic aperture radar (SAR) image is very important. ATR can be used in traffic management, national frontier safety, and so on. Traditional algorithms for SAR ATR is composed of extraction features and training classifier. The features are essential for the classification accuracy. However, choosing good features by hand is a hard task. The deep convolutional neural networks (CNNs) which can learn features automatically have got a great performance in natural images. However, the CNNs have many parameters and need a lot of data to train such networks. The remote-sensing data of SAR is limited. Then, the authors need a simple network which needs not much data and easy to train. The principal component analysis network (PCANet) is a shallow network that performs well in the recognition task and needs no hand features choosing. Though this network has produced a wide application in the natural images, it is rarely used in the SAR images. The experimental result of the moving and stationary target acquisition and recognition (MSTAR) dataset shows that the PCANet can achieve over 99% accuracy on ten-class targets. This result is better than traditional algorithms and is very close to the results of deep-learning methods. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Principal component analysis

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The Verification System of Sliding Spotlight Mode SAR Imaging based on SoPC

The Verification System of Sliding Spotlight Mode SAR Imagin...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Hu, Shankang Xie, Yizhuang Lian, Jie Li, Bingyi Beijing Institute of Remote Sensing Equipmentt BeiJing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Institute of Radio Metrology and Measurement Beijing China

ISBN: (纸本)9781728123455

Aiming at the application background of sliding spotlight mode Synthetic Aperture Radar (SAR) imaging processing, this paper builds a System-on-a-Programmable-Chip-based (SoPC-based) sliding spotlight mode SAR imaging verification system, which uses software and hardware collaborative design method to complete algorithm-to-hardware mapping and can quickly and truly perform in FPGA or ASIC. Finally, we analyzed the implementation of the imaging prototype system and the imaging results. For the generation of correlation factors, this paper hierarchically decomposes the factor generation operation to realize the time division multiplexing of the operation unit, in order to reduce resource consumption. At the same time, a variable point Fast Fourier Transformation (FFT) processor based on a variable radix-23 multiplexing butterfly unit is designed and implemented. Combining these two parts with other modules enables the entire sliding spotlight mode imaging process. On the basis of keeping the error of the result small, the overall resource consumption is greatly reduced. The 102432768 point FFT is implemented by the top-level configurable method, and the operation delay is reduced by more than 20% compared with the Xilinx FFT IP core. The final imaging time is reduced to seconds, and the imaging results meet the requirements. Subsequent compatibility design for other SAR imaging modes also can be achieved. © 2019 IEEE.

关键词： Synthetic aperture radar

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Implementation and optimisation of pulse compression algorithm on open CL-based FPGA

Implementation and optimisation of pulse compression algorit...

引用

IET International Radar Conference 2018, IRC 2018

作者： Feng, Yingxu Hu, Shanqing Li, Xingming Yu, Jiacheng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Science and Technology Leike Electronic Information Technology Beijing10081 China

As Moore's law meets bottlenecks, the demand for heterogeneous parallel processing systems is increasing. Field-programmable gate arrays (FPGAs) are becoming more efficient acceleration devices due to their powerful processing performance, and the CPU + FPGA architecture under the OpenCL framework has become the trend of heterogeneous parallel processing systems. This study focuses on the optimisation of pulse compression algorithm in FPGA based on OpenCL, which plays an important role in modern radar signal processing systems. By using double cache for ping-pang storage of data between matched filter and inverse fast Fourier transform (IFFT), an optimised processing method is proposed by using a pipeline and verify the method by using Arria 10 GX1150 FPGA with two groups of 2 GB DDR3;the results show that the proposed method can achieve 2.89× performance improvement over the conventional implementation. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： Parallel processing systems

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Multi-channel RF signal acquisition system design based on AD9361

Multi-channel RF signal acquisition system design based on A...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Wang, Ce Hu, Shanqing Li, Xingming Chen, Yingying Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology China Beijing Racobit Electronic Information Technology Co. Ltd China

ISBN: (纸本)9781728123455

The modern communication and radar systems has been faced with the constraint of size, weight and power (SWaP), and this also goes for their front-end acquisition systems. Currently, the AD9361 RF transceiver has been gradually employed due to its low cost and low power. However, its internal PLL mode can't support the fast frequency hopping because its time-cost calibration period, and also it doesn't support the multi-channel RF synchronization. Therefore, the AD9361 is unsuitable for some applications with severe requirements on phase and frequency hopping speed. In this paper, we proposed a fast frequency hopping technique by employing configurable external oscillator, and proposed a multi-channel phase synchronization technique based on phase pre-calibration. The techniques are validated on a 16-channel AD9361 acquisition system and the result show the design provides a reference for system design under the SWaP constraint. © 2019 IEEE.

关键词： Field programmable gate arrays (FPGA)

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