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

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A compensated method for GEO SAR attitude trembling based on minimum entropy

A compensated method for GEO SAR attitude trembling based on...

引用

IET International Radar Conference 2015

作者： Bin Xiong Bozheng Shu Zegang Ding Qingjun Zhang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing 100081 China Beijing Institute of Spacecraft system Engineering CAST Beijing 100094

ISBN: (纸本)9781510822023

In this paper, the effect of the satellite yawing, pitching and rotating to the antenna beam pointing is analyzed. At the same time, how the antenna beam pointing error affecting the imaging quality is interpreted. The most significant effect is that the pointing error will lead to paired echo in the SAR image and the paired echo may submerge the weak target. So in this paper we will present a method based on minimum entropy to compensate the beam pointing error and eliminate the paired echo. Finally, we present some simulation to verify the validity of the compensated method.

关键词： attitude trembling back projection minimum entropy paired echo

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A new region growing based method for ship detection in high-resolution SAR images

A new region growing based method for ship detection in high...

引用

IET International Radar Conference 2015

作者： Chonglei Wang Chen Li Fukun Bi Liang Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China Institute of Remote Sensing Information Beijing 100192 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China

ISBN: (纸本)9781510822023

High-resolution SAR are of great value in remote sensing nowadays. To make good use of the characteristics of high-resolution SAR images to detect targets, we present here a region growing method. First, we calculate a threshold according to the given PFA to pick up bright pixels as the seeds. Second, we define the criteria which is mainly based on the relationship between pixels in a high -resolution SAR image and then execute the growing process. Finally, we exclude false alarms according to some geometry features. The experiments and results show that it is a constructive and effective way using region growing algorithm to detect ships in high-resolution SAR images.

关键词： Region Growing SAR Target Detection

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Research on BP imaging algorithm parallelization using C6678 DSPS

Research on BP imaging algorithm parallelization using C6678...

引用

IET International Radar Conference 2015

作者： Jiayun Zhao Yuan Yuan Jinghua Wang Ye Jin Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China North China Institute of Computing Technology Beijing China Beijing institute of spacecraft system engineering China academy of space technology Beijing China

ISBN: (纸本)9781510822023

Compared to the traditional SAR imaging algorithm, Back Projection(BP) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in the imaging process. However, because of intensive computation and low efficiency, it's a new challenge to storage to capacity, throughput and processing ability of DSPs, a single DSP is not enough to meet these demands. So a parallel implementation method of BP algorithm based on TMS320C6678 DSP is proposed in this *** put forward a large point FFT multi-core parallel processing method on 2/4/8 cores what is frequently used in BP algorithm, and a multi-core synchronization method based on distributed memory. Finally using the measured data, we verify the parallel method can greatly enhance the multi-core parallelism, and the real-time performance of BP algorithm has been significantly improved.

关键词： BP imaging algorithm large point FFT multi-core parallel processing multi-core synchronization

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An improved DEM reconstruction method based on shortest sub-interval in MF-InSAR

An improved DEM reconstruction method based on shortest sub-...

引用

IET International Radar Conference 2015

作者： Tiandong Liu Shiqi Ge Zegang Ding Qi Zhang Teng Long Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing 100081 China Nanjing Research Institute of Electronics Technology Nanjing 210039 China

Interferometric synthetic aperture radar (InSAR) can realize the elevation extraction of the target. Through increasing the degree of freedom (DOF) during the topography calculation, multi-frequency InSAR technology can further achieve high-accuracy elevation reconstruction in steep terrain. Although the maximum likelihood estimation (MLE) method is widely used in the signal processing of multi-frequency InSAR, its performance can be influenced by phase noise. This paper proposes a creative algorithm which combines the maximum likelihood elevation estimation with the shortest sub-interval seeking operator (SSIS-MLE). It statistically averages the elevation estimation results of the MLE with class histogram, so that efficiently excludes the error estimation. Simulation results verify that this method not only maintains the high calculation efficiency of traditional MLE method, but also guarantees the high accuracy of elevation estimation.

关键词： MLE Multi-frequency InSAR efficiency the shortest sub-interval maximum likelihood estimation Synthetic aperture radar signal processing multiple-frequency Phase noise

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Fixed-point simulation technology for SAR real-time imaging system

Fixed-point simulation technology for SAR real-time imaging ...

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IET International Radar Conference 2015

作者： Xin Zhou Yi-zhuang Xie Chen Yang Qing Du Yi Deng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Arlington VA USA

ISBN: (纸本)9781510822023

In this paper, a fast fixed-point simulation technology is proposed for a multi-channel synthetic aperture radar (SAR) imaging system. The overall computations in the SAR imaging algorithm is explicitly analysed. FFT operations account for most memory consumption in the imaging flow. Accordingly, a fixed-point FFT algorithm is adopted due to the trade-off between precision and memory occupation of the FPGA implementation. Furthermore, this paper describes an optimized word-length configuration method based on theoretical analysis of architecture of Radix-22 FFT. This methodology is verified in a SystemC development environment due to its superiority of fast and bit-accurate system-level simulation capability. Finally, the proposed SystemC based fixed-point imaging algorithm and the Matlab based floating-point imaging algorithm are both conducted to process point array target raw data. Peak side-lobe ratio (PSLR) and integrated side-lobe ratio (ISLR) is evaluated. Experimental results indicate that profiles in the two cases do not differ greatly, which validates that the proposed fixedpoint algorithm with less resources occupation has comparable accuracy and can meet system requirements.

关键词： SAR SystemC fixed-point arithmetic real-time imaging system-level simulation

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Research on echo simulation of geosynchronous SAR

Research on echo simulation of geosynchronous SAR

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IET International Radar Conference 2015

作者： XiaoBei Wang YinHui Xu ZeGang Ding Wei Liu Yu Zhu QingJun Zhang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing China 100081 Beijing Institute of Spacecraft system Engineering CAST Beijing China 100094

ISBN: (纸本)9781510822023

Considering the accuracy of traditional echo simulation methods, an improved echo simulation method of geosynchronous synthetic aperture radar (GEO SAR) is proposed, which has a higher accuracy. Aiming at the fidelity of echo simulation, this article develops a target scene model based on curved surface and an algorithm for judging whether the targets are illuminated by the beam. The echo simulation method is conducted with GEOSAR parameters, which indicates the correctness of scene model and beam judging algorithm. What's more, the effect of scene model and judging algorithm on imaging algorithm is analyzed. And the approach in this paper has a significant meaning for the investigation of space-borne SAR echo simulation and imaging algorithm.

关键词： GEOSAR beam judgment beam shadow echo simulation scene model

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An effective false-alarm removal method based on OC-SVM for SAR ship detection

An effective false-alarm removal method based on OC-SVM for ...

引用

IET International Radar Conference 2015

作者： Xiaoting Yang Fukun Bi Ying Yu Liang Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China School of Information Science and Engineering Yunnan University Kunming 650091 China

ISBN: (纸本)9781510822023

Automatic ship detection from SAR remote sensing imagery is very important, with a wide array of applications in areas such as national marine safety, vessel traffic services, and naval warfare. However, SAR remote sensing images with the high inhomogeneity of sea clutter and complex scene result in a large number of false alarms. This paper focuses on the problem of false alarm removal and coverts it as a classification problem with respect to ship targets and false alarms. However, in real application: (1) Compared to false alarms the number of ships is much smaller, and (2) false alarms with diverse categories and no uniform characteristics are difficult to be distinguished from ships. To solve the problems above, we present a new method based on one-class SVM (OCSVM) combined with grid optimization that only use the data of ships to train classifier in the absence of false alarms. First, 2P-CFAR is adopted to extract ship candidates and 14 features mainly focusing on ship targets are selected. Second, grid optimization is exploited to obtain parameters for OC-SVM training, where it is a compromise between the probability of false alarm and detection rate. Experimental results of OC-SVM on a large SAR image set demonstrate that in comparison with other state-of-the-art methods like SVM, BP neural network, our approach can achieve higher detection accuracy.

关键词： OC-SVM false alarms removal parameters analysis performance comparison ship detection

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Water body extraction based on the LBV transformation analysis for China GF-1 multi-spectral images

Water body extraction based on the LBV transformation analys...

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IET International Radar Conference 2015

作者： Hang Wei Fukun Bi FuQiang Liu Wenchao Liu He Chen Ying Yu Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China School of Information Science and Engineering Yunnan University Kunming 650091 China

ISBN: (纸本)9781510822023

For the surface water body extraction from China GF-1 satellite multi-spectral images, this paper proposes a algorithm based on the LBV transformation analysis method. The LBV transformed images can be used more effectively for the analysis of ground features than the original multispectral satellite images. So in the proposed method, the LBV transformation equations for GF-1 images are firstly discussed. Then, by analyzing gray level curves of six typical ground features in L(the general radiance level), B(the visible-infrared radiation) and V(the band radiance variation vector) images respectively, a decision criterion for extracting water body is obtain. And by this decision criterion the water bodies can be quickly and accurately extracted in the complex scenes. The experimental results show that this algorithm can effectively eliminate roads and the shadows of the buildings and cloud on the influence of the water body extraction and can exactly extract the small ponds, lakes and reservoirs. In addition, the proposed algorithm is simple, automatic and highly adaptable.

关键词： China GF-1 LBV Multi-spectral Image Water

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An optimized water detection algorithm for SAR images utilizing SOPC technologies

An optimized water detection algorithm for SAR images utiliz...

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IET International Radar Conference 2015

作者： Yan Liu Lin Li Yizhuang Xie Liang Chen Yi Deng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China Beijing Institute of Remote Sensing ECE Department of Virginia Polytechnic Institute and State University Falls Church Virginia 22124 USA

This paper investigates a water detection algorithm of region-of-interest extraction based on the combination of sobel edge detection and contrast stretching transformation. The implementation of the proposed method is utilized for SAR (Synthetic Aperture Radar) imaging with SOPC (Systems on a Programmable Chip) embedded technology. It also puts forward an effective and realizable approach for the parallel processing data. The water detection algorithm is first optimized for SOPC system and is implemented on Xilinx Zynq-7020 chip with dual cortex-A9 ARM processors. As a result, the average consumption time of water detection algorithm reduces over 38 percent, which ensures the real-time requirement in the real-time object detection system.

关键词： ARM SAR SOPC water detection 1-stearoyl-2-oleoyl-sn-glycero-3-phosphocholine spatially oscillating photovoltaic current Radar polarimetry Detection algorithms Synthetic aperture radar Rescue Specific absorption rate SAFETY ANALYSIS REPORTS

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Region of interests extraction based on visual saliency for remote sensing image

Region of interests extraction based on visual saliency for ...

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IET International Radar Conference 2015

作者： Long Ma Bin Xu Fukun Bi He Chen Ying Yu Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing 100081 China Beijing Remote Sensing Information Institute Beijing 100192 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China School of Information Science and Engineering Yunnan University Kunming 650091 China

ISBN: (纸本)9781510822023

This paper proposes a novel region of interests extraction method for remote sensing image based on visual saliency analysis as well as the multi-scale saliency fusion mechanism. Firstly, under the theory of multi-scale and multiresolution analysis, the gaussian pyramid representation is generated. Then, various spatial features are exploited to compute saliency maps under different scales. Finally the saliency map could be calculated by the corresponding level fusing as well as the across-scale combination. The comparative experiments validate the effectiveness of the proposed model.

关键词： Multi-scale analysis region of interests remote sensing image processing saliency fusion visual saliency

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