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2010 Second IITA International conference on Geoscience and Remote Sensing (IITA-GRS 2010)

作者： Houmao Wanga,b,Jiakui Tanga,Chunlei Wanga,b,Xinju Yua,b,Chengwen Zhanga,b,Lijun Zhaoa,b a,Yantai Institute of Coastal Zone Research Chinese Academy of Sciences Yantai,China b,Graduate University of Chinese Academy of Sciences Beijing,China

In this study,a new method was proposed to retrieve aerosol optical depth at 0.55μm (AOD0.55μm) using MODIS images with the second simulation of satellite signal in the solar spectrum model (6S). Provided that surface features have little change in a short period,the surface reflectance ratios between visible and infrared bands pixelby-pixel can be calculated directly using satellite image on clean day when aerosol optical depth is too small enough(AOD<0.01) to be neglected comparing with dust day. Then,the stable ratios are used to retrieve aerosol optical depth on dusty day. Experiments were conducted to retrieve AOD0.55μm over the west coast of Bohai. For validation,AOD derived by the method was compared with measurements from Aerosol Robotic Network (AERONET). The relative error range was within 20%,which demonstrated that the method can be used to not only dark object but also bright regions well,particularly over urban regions.

关键词： Aerosol optical depth(AOD),AERONET,Surface reflectance ratio,6S

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DInSAR for Land Subsidence Monitoring Using High Resolution COSMOSKYMED SAR data:Preliminary Results Compared with ASAR

DInSAR for Land Subsidence Monitoring Using High Resolution ...

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2010 Second IITA International conference on Geoscience and Remote Sensing (IITA-GRS 2010)

作者： JingHui Fan China Aero Geophysical Survey & Remote Sensing Centre for Land & Resources Xueyuan Road 31,Haidian District,100083 Beijing,China HongLi Zhao School of the Geosciences and Resources,China University of Geosciences (Beijing) Xueyuan Road 31,Haidian District,100083 Beijing,China Xiaofang Guo China Aero Geophysical Survey & Remote Sensing Centre for Land & Resources Xueyuan Road 31,Haidian District,100083Beijing,China

DInSAR can map ground deformation phenomena over tens-of-kilometers-wide area with centimeter-scale accuracy level,and has been considered as a powerful tool. Because of the data availability,previous DInSAR applications were mainly base on ERS,JERS,ENVISAT ASAR,and RADARSAT-1 data with resolution coarser than 10m. Nowadays,several kinds of high resolution SAR data are available for DInSAR and there are high expectations for the application of these data. In this paper,COSMO-SkyMed SAR data and grid digital elevation model ASTER GDEM (30m resoluton) are used as research data. COSMO-SkyMed SAR data are preliminary processed by DInSAR technique for land subsidence mapping of Tianjin and Beijing area. Meanwhile,the DInSAR results from COSMO-SkyMed and ASAR data are preliminary compared. COSMO images are more suitable to extract high-precision ground deformation information than ASAR images in civil application given precise orbit data. Whiel COSMO data are suitable for deformation monitoring in a relatively small and important area,ASAR data are fit for regional survey.

关键词： DInSAR subsidence COSMO high resolution

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A multi-agent system for detecting adverse drug reactions

A multi-agent system for detecting adverse drug reactions

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conference of the North American Fuzzy Information processing Society - NAFIPS

作者： Ayman Mansour Hao Ying Peter Dews Yanqing Ji Margo S. Farber John Yen Richard E. Miller R. Michael Massanari Department of Electrical and Computer Engineering Wayne State University Detroit MI USA Department of Internal Medicine Saint John Health Providence Hospital Southfield MI USA Department of Electrical and Computer Engineering Gonzaga University Spokane WA USA Department of Drug Information/Use Policy Detroit Medical Center Detroit MI USA School of Information Science and Technology Pennsylvania State University University Park PA USA John D. Dingell Veterans Affairs Medical Center Detroit MI USA Critical Junctures Institute Bellingham WA USA

Discovering unknown adverse drug reactions (ADRs) as early as possible is highly desirable. Current methods largely rely on passive spontaneous reports, which suffer from serious underreporting, latency, and inconsistent reporting. They are not ideal for early identification of ADRs. In this paper, we propose a multi-agent system approach for ADR detection. A multi-agent system is formed by a community of agents that exchange information and proactively help one another to achieve the goals set by the system designer. We show how agents, equipped with decision rules developed by the physicians on the team, can collaborate to detect signal pairs of potential ADRs. Using the popular agent language JADE and clinical information on 1,000 patients treated at the Detroit Veterans Affairs Medical Center, we have constructed a small group of agents and generated preliminary simulated detection results.

关键词： Multiagent systems Drugs Hospitals Fuzzy reasoning Collaboration Medical treatment Surveillance data mining Fuzzy systems Information science

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Initial implementation of LYSO-PSPMT block detector with an all digital DAQ system

Initial implementation of LYSO-PSPMT block detector with an ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Qingguo Xie Yuanbao Chen Jun Zhu Xi Wang Jingjing Liu Wei Liu Yachao Jiang Ming Niu Zhongyi Wu Anwen Long Ning Guo Daoming Xi Peng Xiao Junxiong Gao Chin-Tu Chen Yunbo Wang Chien-Min Kao Department of Biomedical Engineering Huazhong University of Science and Technology Wuhan Hubei China Wuhan National Laboratory of Optoelectronics Wuhan Hubei China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Huazhong University of Science and Technology Wuhan Hubei CN Department of Electronic Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Department of Radiology University of Chicago Chicago IL USA

An all-digital positron emission tomography (PET) scanner for imaging small animals has been developed at Huazhong University of Science and Technology (HUST). The implementation of block detector with position sensitive photomultiplier (PSPMT) and multi-voltage threshold (MVT) technology is presented in this paper. The detector comprises 12 basic detector modules (BDMs), which can be used to construct various types of PET scanner architecture due to the modularized design. Each BDM is composed of a detector unit (DU) and a digital processing unit (DPU). The scintillation pulses are obtained in DU, from which the time, energy and position can be derived and processed in DPU by using digital signal processing (DSP) algorithm. Then coincidence data and list-mode data can be obtained in soft singles processing unit (SSPU). We arrange two BDMs as a dual-head PET scanner to evaluate the system. Our results show that the average energy resolution is ~14%@511 keV full-width-at-half-maximum (FWHM) and the coincidence time determination is ~1.38 ns FWHM. Moreover, the reconstructed image of a homemade micro-Derenzo phantom shows that the rods with a diameter of 1.6 mm can be clearly distinguished. The results are promising and demonstrate the potentials of the alldigital PET system.

关键词： Detectors Positron emission tomography data acquisition Image reconstruction Crystals Phantoms Energy resolution

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FinFine Building Model Based on Terrestrial Laser Scanning and Support Vector Machine Image Segmentation

FinFine Building Model Based on Terrestrial Laser Scanning a...

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2010 Second IITA International conference on Geoscience and Remote Sensing (IITA-GRS 2010)

作者： Li Jian Wan Youchuan Shao Shiwei Xiang Lin Tong Peng School of Remote Sensing & Information Engineering,Wuhan University Wuhan,China

It is true that Terrestrial Laser Scanning (TLS) can quickly acquire the detailed and accurate three-dimensional data of ground objects,thus it is widely used in digital city,the protection of historic buildings and the deformation monitor of bridges,etc. However,the huge data of the point clouds would create huge TIN (Triangulated Irregular Network) models. It is difficult to use these data on digital city because there are too many buildings and objects not needed and it is also a waste of time to create this model. As the TLS can easily achieve detailed and accurate recording of surfaces,in addition to which,the digital camera mounted on the TLS could also acquire rich textures besides the measurements of edges and corners,it is easy to extract the outlines of objects by combining point clouds with the according images which are segmented by SVM(Support Vector Machine). However TIN models created on those parts are difficult to get outlines. The fine models can be accurately and quickly created using outlines whereas the structure is simple or using TIN modeling whereas the structure is difficult. Thus it is a fine model which is small in size and simple enough to operate. This paper describes the steps of the fine modeling of Tianjin Concert Hall from the VZ400 laser scanner.

关键词： Terrestrial Laser Scanning (TLS),Fine 3D Model,Point Cloud,Support Vector Machine (SVM)

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Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet

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BIOINFORMATICS 2010年第18期26卷 i659-i665页

作者： Nguyen, Nha Huang, Heng Oraintara, Soontorn Vo, An Univ Texas Arlington Dept Comp Sci & Engn Arlington TX 76019 USA Univ Texas Arlington Dept Elect Engn Arlington TX 76019 USA N Shore LIJ Hlth Syst Feinstein Inst Med Res New York NY USA

Motivation: Peaks are the key information in mass spectrometry ( MS) which has been increasingly used to discover diseases-related proteomic patterns. Peak detection is an essential step for MS-based proteomic data analysis. Recently, several peak detection algorithms have been proposed. However, in these algorithms, there are three major deficiencies: (i) because the noise is often removed, the true signal could also be removed;(ii) baseline removal step may get rid of true peaks and create new false peaks;(iii) in peak quantification step, a threshold of signal-to-noise ratio (SNR) is usually used to remove false peaks;however, noise estimations in SNR calculation are often inaccurate in either time or wavelet domain. In this article, we propose new algorithms to solve these problems. First, we use bivariate shrinkage estimator in stationary wavelet domain to avoid removing true peaks in denoising step. Second, without baseline removal, zero-crossing lines in multi-scale of derivative Gaussian wavelets are investigated with mixture of Gaussian to estimate discriminative parameters of peaks. Third, in quantification step, the frequency, SD, height and rank of peaks are used to detect both high and small energy peaks with robustness to noise. Results: We propose a novel Gaussian Derivative Wavelet (GDWavelet) method to more accurately detect true peaks with a lower false discovery rate than existing methods. The proposed GDWavelet method has been performed on the real Surface-Enhanced Laser Desorption/Ionization Time-Of-Flight (SELDI-TOF) spectrum with known polypeptide positions and on two synthetic data with Gaussian and real noise. All experimental results demonstrate that our method outperforms other commonly used methods. The standard receiver operating characteristic (ROC) curves are used to evaluate the experimental results.

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Detection and Localization of Multiple Unresolved Extended targets via Monopulse Radar signal processing

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2009年第2期45卷 455-472页

作者： Zhang, Xin Willett, Peter Bar-Shalom, Yaakov United Technol Res Ctr E Hartford CT 06108 USA Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

When the size of targets is comparable to the range resolution of monopulse radars, these targets should be considered as extended rather than point targets. If several closely-spaced targets fall within the same radar beam and between adjacent matched filter samples in range, the full monopulse information from all of these samples can and should be used to resolve these targets, i.e., estimate the number of targets and their respective angles-of-arrival and ranges. To detect and localize multiple unresolved extended targets, we establish a model for monopulse radar returns from extended objects, and present a maximum likelihood estimator (MLE) to localize the targets. Rissanen's minimum description length (MDL) criterion will be used to decide the number of existing extended objects. We also derive the upper limit on the number of targets and their scattering centers that can be resolved, and we provide necessary conditions for these targets to be uniquely identified. We compare the new extended target monopulse processing scheme with previously developed point-target monopulse techniques in the simulations.

关键词： RADAR ELECTRONIC pulse techniques ELECTRONIC systems signal processing -- Digital techniques MACHINE theory

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基于1类SVM的高分辨雷达真假目标识别

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信号处理 2010年第5期26卷 746-752页

作者：廖东平国防科技大学电子科学与工程学院空间电子信息技术研究所长沙410073

本文将高分辨雷达目标检测问题等效为真假目标识别问题,并针对现有的高分辨雷达目标检测算法的缺陷,借鉴处理异常值问题的思想,首次将1类SVM引入高分辨雷达目标检测之中,为解决高分辨雷达目标检测问题提供了一条崭新的思路。同时针对现... 详细信息

本文将高分辨雷达目标检测问题等效为真假目标识别问题,并针对现有的高分辨雷达目标检测算法的缺陷,借鉴处理异常值问题的思想,首次将1类SVM引入高分辨雷达目标检测之中,为解决高分辨雷达目标检测问题提供了一条崭新的思路。同时针对现有的1类SVM对数据域描述的不足,结合高分辨雷达目标数据分布的特点,提出了一种聚类式的1类SVM模型,通过对训练的正类样本的聚类分组,用多个小的超球来代替原来的1个大的超球,从而更准确的实现了对数据域的描述。最后针对存在多类真目标的情况,提出了对每一类真目标分别进行处理的方法,以满足后续真目标类型识别的需要。雷达实测数据实验结果表明本文算法是有效的。

关键词：高分辨雷达目标检测真假目标识别 1类SVM 数据域描述

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红外小目标实时检测硬件系统设计与实现

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国外电子测量技术 2010年第8期29卷 57-59,67页

作者：张廷华樊桂花孙华燕装备指挥技术学院光电装备系北京101416

设计并测试了红外小目标实时检测硬件系统。系统采用FPGA+DSP的结构,以提高实时性。FPGA完成图像的部分预处理和缓存,DSP实现视频编解码器的控制、数据快速搬移存储与处理,并通过实验验证系统性能。

关键词：红外目标检测现场可编程门阵列数字信号处理

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Impulsive Noise Excision and Performance Analysis

Impulsive Noise Excision and Performance Analysis

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IEEE Radar conference

作者： X. Lu J. Wang A. M. Ponsford R. L. Kirlin Engineering Department Raytheon Canada Limited Department of Electrical and Computer Engineering University of Victoria

ISBN: (纸本)9781424458110

Interference can be a major impediment to the operational performance of radar systems. A common source of interference is impulsive noise which may appear due to regional lighting discharges or local man-made noise sources. Impulsive noise is characterized as having a large amplitude and short duration and therefore only affects a small portion of the time series. Unpredictable frequency distortion may occur during the impulsive noise period, which is partially caused by the non-perfect response of the receiver front end. In this paper we present several linear prediction methods that are used to remove the impulsive noise without introducing frequency leakage over the signal band. Theoretical performances are analyzed and compared for these methods. The effectiveness of prediction methods relative to traditional excision techniques are also demonstrated using experimental data.

关键词： Performance analysis Interference Noise level Frequency signal processing algorithms Blanking Fourier transforms Fault location Prediction methods Background noise

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