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IEEE International Geoscience & Remote Sensing Symposium

作者： Dai, Jiahui Deng, Chenwei Wang, Wenzheng Liu, Xun Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

ISBN: (纸本)9781509049516

Anomaly is generally defined as an object that strays away from the background clutter. As for hyperspectral anomaly detection, most of the previous methods fail to fully take advantage of the knowledge in both spatial and spectral domain. In this paper, we propose a novel method based on tensor recovery in which spatial structures and spectral characters are reasonably considered to separate the hypercube into a low-rank background and sparse anomalies. Since background is highly consistent not only in spectral domain, but also in spatial domain, we impose low-rank constraints on three unfolding matrix of the hypercube respectively to capture the global structure together. To better describe the local irregularities with low probability, a general l(1) norm constraint and an extra sparse regularization are imposed on pixels in the spectral mode alone, for that we consider each spectrum as an entirety. Extensive experiments on two real datasets show outstanding anomaly detection performance of the proposed method in comparison with the state-of-the-art methods.

关键词： Hyerspectral image (HSI) analysis anomaly detection spatial-spectral tensor recovery low-rank and sparse

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A New Algorithm of Plots Centroid for Radar Target 9

A New Algorithm of Plots Centroid for Radar Target

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9th International Congress on Image and Signal processing, BioMedical Engineering and informatics (CISP-BMEI)

作者： Liu, Haibo Li, Jinbing Zhang, Peiyao Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

ISBN: (纸本)9781509037100

For the 2D radar system, in order to improve the performance of target plots, a new algorithm based on geometric center and amplitudes of measurements was proposed, aimed at that the traditional plots centroid algorithm does not use the amplitude information or over-uses it. The proposed algorithm can reduce the weights of the measurements which are far away from the geometric centre, so as to obtain mere accurate range and azimuth estimations even under the circumstances of strong false measurements. Simulations show that the proposed method works better than the traditional methods.

关键词： radar targets plots centroid geometric center

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Road Network Extraction From Low-Contrast SAR Images

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2019年第6期16卷 907-911页

作者： Zeng, Tao Gao, Qiang Ding, Zegang Chen, Jing Li, Gen Beijing Inst Technol Radar Res Lab Sch Informat & Elect Beijing 100081 Peoples R China Beijing Key Lab Embedded Real Time Informat Proc Beijing 100081 Peoples R China

In low-contrast synthetic aperture radar (SAR) images, the contrast between roads and surrounding objects is low;therefore, many false roads will be introduced in the process of extracting road networks. To solve this problem, a two-step road network extraction framework is proposed. In the first step, the edge information of the road is extracted using a linear detector. To reduce false edges, a false edge removal algorithm based on the directional information of the edges is proposed. In the second step, an improved region growing (RG) algorithm is proposed, which can substantially improve the integrity of the road network extraction compared with the traditional RG algorithm. Finally, the proposed algorithm is validated by GF-3 satellite SAR images.

关键词： Low-contrast synthetic aperture radar (SAR) image Monte Carlo analysis region growing (RG) road network extraction

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Slim-SSD: An Efficient Fast Object Detection Method 3

Slim-SSD: An Efficient Fast Object Detection Method

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IEEE 3rd International Conference on Multimedia information processing and Retrieval (IEEE MIPR)

作者： Jing Donglin Tang, Linbo Zhao, BaoJun Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

ISBN: (纸本)9781728142722

Object detection networks require large storage space and high computational cost, it is difficult to deploy deep neural networks on embedded devices with limited memory and computing resources in actual object detection tasks. In order to solve these challenges, we propose an efficient object detection framework by pruning channels of the feature extraction layer of the network. First, we apply the L1 regularization to the channel scale factor in the BN layer to obtain the object detection network with sparse structure. Then we trim the channel with less information to get the object detection framework. Based on this method, we obtained Slim-SSD with less trainable parameters and test time. Our experiments on benchmarks show that, on the basis of approximate accuracy with the original network, we have reduced the number of model parameters by 3x, and reduced the testing time by 2x. Our compression method helps to deploy complex object detection networks on resource-constrained embedded platform.

关键词： Object Detection Channel Pruning SSD Deep Compression

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FPGA-Based High Definition Image processing System 10th

FPGA-Based High Definition Image Processing System

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10th European-Alliance-for-Innovation (EAI) International Conference on Wireless and Satellite Systems (WiSATS)

作者： He, Xinxin Tang, Linbo Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

ISBN: (纸本)9783030191566;9783030191559

With the continuous development of mobile communication and the Internet, people's requirements for the speed and quality of digital image processing are increasingly improved. A large amount of high-speed, parallel video stream data needs to be processed in real time, especially in video image processing. The author presents a method of high-definition image transmission and processing system based on FPGA. The system uses FPGA as the main controller, consisting of front-end HDMI video receiving module, image fast median filtering processing module, image ping pong Storage module and HD-SDI video display module through hardware description language programming, effectively realizing real-time video capture, transmission and display. It has been verified that the processing and transmission of digital video signals in this system is stable and reliable. The system also has a series of advantages such as low power consumption, low cost, flexible design, and easy expansion and has been applied in practical engineering.

关键词： FPGA HDMI SDI Advanced median filtering

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A new Doppler centroid estimation method for high-squint curved-trajectory airborne synthetic aperture radar

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INTERNATIONAL JOURNAL OF REMOTE SENSING 2019年第23期40卷 9003-9025页

作者： Zhou, Zhichao Ding, Zegang Wang, Yan Li, Linghao Zhu, Kaiwen Zeng, Tao Beijing Inst Technol Sch Informat & Elect 5 South Zhongguancun St Beijing 100081 Peoples R China Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

The average cross-correlation coefficient (ACCC) is a traditional Doppler centroid estimation (DCE) method applied for complex radar data. Though the ACCC method is accurate enough for moving platforms with small acceleration, it cannot be applied for high-squint curved-trajectory synthetic aperture radar because the accompanied larger acceleration will lead to serious Doppler spectrum expansion and result in Doppler aliasing. To solve this problem, a new DCE method is proposed in the paper for the cases with large acceleration. The performance improvement is achieved by employing an additional compensation for the phase and envelope induced by the acceleration. The presented approach is evaluated by the computer simulations.

关键词： Doppler effect

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Bistatic SAR Imaging processing and Experiment results Using BeiDou-2/Compass-2 as Illuminator of Opportunity and a Fixed Receiver 5

Bistatic SAR Imaging Processing and Experiment results Using...

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IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)

作者： Zeng, Tao Zhang, Tian Tian, Weiming Hu, Cheng Yang, Xiaopeng Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

ISBN: (纸本)9781467372978

Global Navigation Satellite System (GNSS) provides opportunities for passive radar applications. This paper reports progress in space-surface bistatic synthetic aperture radar (SS-BiSAR) using Beidou-2 as transmitters of opportunity and a fixed ground-based receiver. Experiment is described and the obtained SAR image is presented and interpreted in detail. Results show that BiSAR using beidou-2 as illuminator is able to reflect different types of targets and SS-BiSAR using GNSS as illuminator of opportunity is potential to realize local area monitoring.

关键词： Bistatic synthetic aperture radar (BSAR) global navigation satellites systems (GNSSs) passive synthetic aperture radar(SAR) Beidou-2/Compass-2

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An Automated FPGA-Based Fault Injection Platform for Granularly-Pipelined Fault Tolerant CORDIC 17

An Automated FPGA-Based Fault Injection Platform for Granula...

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17th International Conference on Field-Programmable Technology (FPT)

作者： Xie, Yu Chen, He Xie, Yizhuang Mao, Chuang-An Li, Bing-Yi Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

ISBN: (纸本)9781728102139

Augment of integration and complexity makes VLSI circuits more sensitive to errors. Also, soft errors caused by Single Event Upset (SEU) have become a significant threat to modern electronic systems. Therefore, the demand of high reliability on modern electronic systems keeps increasing. Aiming at reliability evaluation of fault tolerant very large scale integrated circuits implemented on SRAM-based FPGA, an automated fault injection platform via Internal Configuration Access Port (ICAP) for rapid fault injection is presented in this paper. We adopt a granularly-pipelined fault tolerant CORDIC processor as the Design Under Test (DUT), and a C++ script is deployed for the external fault injection control environment and automating the fault injection procedure. The proposed method can achieve quantities of repeating fault injection tests and is suitable for any fault tolerant design implemented in SRAM-Based FPGA.

关键词： Fault Injection Single Event Upset(SEU) Fault Tolerant(FT) COordinate Rotation DIgital Computer (CORDIC) SRAM-based FPGA

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A Performance Analysis of Typical Imaging Algorithms in Ground-Based Synthetic Aperture Radar 32

A Performance Analysis of Typical Imaging Algorithms in Grou...

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32nd General Assembly and Scientific Symposium of the International-Union-of-Radio-Science (URSI GASS)

作者： Hu, Cheng He, Qian Tian, Weiming Deng, Yunkai Dong, Xichao Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing Peoples R China

ISBN: (纸本)9789082598704

Surface deformation disasters, such as landslides, debris flow and collapse, do great harm to human lives and property. Ground-Based Synthetic aperture radar (GBSAR) has been widely applied in deformation monitoring and measurement with the advantages of all-weather, all day and high precision. Back projection (BP) algorithm, algorithm based on keystone and subblock dechirp (KSD), and far-field pseudopolar format algorithm (FPFA) are typical imaging algorithms used in GB-SAR. This paper analyzes the three algorithms from aspects of application scope, computation burden, and deformation measurement precision. Results show that KSD is most appropriate for GB-SAR.

关键词： Azimuth Interpolation

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A 2-D Nonlinear Chirp Scaling Algorithm for High Squint GEO SAR Imaging Based on Optimal Azimuth Polynomial Compensation

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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2017年第12期10卷 5724-5735页

作者： Zhang, Tianyi Ding, Zegang Tian, Weiming Zeng, Tao Yin, Wei Beijing Inst Technol Sch Informat & Elect Radar Res Lab Beijing 10081 Peoples R China Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Beijing 100081 Peoples R China

GEO SAR can achieve better revisit time and observation performances when using high squint mode. However, high squint mode also causes huge range walk and severe range-azimuth coupling problems as well as severe 2-D spatial variance of the focusing parameters and range cell migration (RCM), which restrict the available scene size and increase the difficulty of GEO SAR imaging. To achieve high squint mode GEO SAR imaging, the effects of squint mode on imaging processing-especially the azimuth-variant RCM-are first analyzed in detail, and the relationship between the azimuth-variant RCM and the azimuth-variant focus parameters is discussed. Then, in this paper, a 2-D nonlinear chirp scaling algorithm (2-D NCSA) based on optimal azimuth polynomial compensation is proposed to realize high squint GEO SAR imaging. In the proposed algorithm, the optimal azimuth polynomial compensation which consists of a time-domain compensation and a frequency compensation removes the range walk, weakens the azimuth-variant RCM, and simplifies the imaging processing, while the 2-D NCSA which consists of a range NCSA and a higher order azimuth NCSA solves the 2-D spatial variance of focusing parameters and achieves high squint GEO SAR imaging. Computer simulations for different orbital positions validate the effectiveness of the proposed algorithm under high squint conditions.

关键词： Azimuth variance geosynchronous SAR high squint mode optimal polynomial compensation

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