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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 1999"

共 764 条记录，以下是151-160 订阅

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Distinguishing small targets from Sea Clutter Using Dynamic Models

Distinguishing Small Targets from Sea Clutter Using Dynamic ...

引用

IEEE Radar conference (RadarConf)

作者： Schlangen, Isabel Charlish, Alexander Fraunhofer Inst Commun Informat Proc & Ergon FKIE Fraunhoferstr 20 D-53343 Wachtberg Germany

ISBN: (纸本)9781728116792

Radar signal processing for maritime surveillance and reconnaissance is a difficult problem due to the occurrence of sea clutter. The sea surface is highly reflective and agile, therefore the received radar return has a high intensity and it is often correlated in time and space due to undulation. Classical approaches try to suppress the clutter signal on the sensor or measurement level, however such methods usually do not take temporal information over multiple dwells into account. This article provides an analysis of an approach that simultaneously tracks the observed objects and the correlated clutter signals and classifies them based on the correspondence of their state history with the target- and clutter-specific dynamic models. Furthermore, it is demonstrated that this tracking based classifier maintains good accuracy even on downsampled data, which is representative of a scanning radar. The described method is tested on datasets of the 2006 Fynmeet trial conducted by the Council for Scientific and Industrial Research (CSIR).

关键词： Clutter Sea measurements Target tracking Radar cross-sections Radar tracking Sea surface

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Application of concurrent full waveform inversion for elastic properties using Rayleigh and body waves in data from the ARID 2D land model

Application of concurrent full waveform inversion for elasti...

引用

International Petroleum Technology conference 2020, IPTC 2020

作者： Ren, Li Zhang, Houzhu Liang, Hong Liu, Hongwei McMechan, George University of Texas at Dallas United States Aramco Services Company Houston Research Center United States EXPEC Advanced Research Center Saudi Aramco Saudi Arabia

ISBN: (纸本)9781613996751

In areas of complicated near-surface structures, estimation of an accurate near-surface velocity is challenging and this usually results in a distorted image of deeper targets. Surface waves have strong energy and decay exponentially with the depth, but they usually have high signal-to-noise ratios. Surface waves are strongly depending on S-wave velocities and also include information of P-wave velocity, density and attenuation of both P- and S-waves. Conventional inversion based on dispersion curves can only produce 1D S-wave velocity model. Full waveform inversion of surface waves breaks this limitation and can provide 2D or 3D high resolution near surface S-wave velocity, and reasonable P-wave velocity and density as well. Envelope of seismogram contains effective lower frequencies information which usually is not available in the seismogram. Combined with a multi-frequency strategy, cascadeded inversion of envelope-based and waveform-based misfit functions of both Rayleigh and body waves can reduce cycle skipping for FWI and estimate models with high resolution. This is due to the broader frequency bandwidth and composite contributions from Rayleigh waves and body waves. We test this method on the Arid 2D model, a typical near surface structure designed to include challenges in land seismic processing. Due to the high sensitivity to S-wave velocity and strong energy of Rayleigh waves, concurrent FWI of Rayleigh and body waves using cascaded envelope and waveform inversion produces S-wave velocity model with highest resolution. The resolution of P-wave velocity and density is lower than that of S-wave velocity. The small low velocity anomalies and faults at very shallow depths in the P- and S-wave velocity models are clearly defined. The low velocity structures at greater depths are better inverted in the S-wave velocity than in the P-wave velocity. Copyright 2020, International Petroleum Technology conference.

关键词： Rayleigh waves

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Three-dimensional Imaging Sonar signal processing System Based on Blade Server 2

Three-dimensional Imaging Sonar Signal Processing System Bas...

引用

2019 2nd International conference on Advanced Algorithms and Control Engineering, ICAACE 2019

作者： Zeng, Xiangrui Liu, Jingyang Gao, Bo Science and Technology on Sonar Laboratory Hangzhou Research Institute of Applied Acoustics Hangzhou310012 China

The three-dimensional high-resolution imaging sonar uses multi-beam technology combined with synthetic aperture technology to achieve centimeter-level imaging of small underwater targets. It has a good imaging effect on underwater anchoring, sinking mine and buried mine target detection and underwater topography, and has a wide range of military and civil engineering applications. The system has a large amount of data transmission and computation, including multiple functional modules such as synthetic aperture, high resolution array processing, image processing, and target recognition. The software architecture is complex and real-time system development faces serious challenges. The blade servers have been widely used in the telecommunications, financial and other big data processing fields as for the high efficiency, stability and autonomy. This paper introduces a cluster 3D imaging signal processing system based on x240m5 blade server. The message queue communication (ZMQ) is used to realize the stable transmission of large data volume. At the same time, the mixed programming technology of C language and Matlab language combines the convenience of real-time and software integration, which greatly shortens the development cycle. The system runs stably and realizes the imaging recognition of the small spheres and their clump weights in the simulated target water. © Published under licence by IOP Publishing Ltd.

关键词： Synthetic apertures

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Building Scene Recognition Based on Deep Multiple Instance Learning Convolutional Neural Network Using High Resolution Remote Sensing Image 2019

Building Scene Recognition Based on Deep Multiple Instance L...

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Proceedings of the 2019 International conference on Video, signal and Image processing

作者： Jiafen Xie Kai Xu Zhili Li Qi Bi Kun Qin China University of Geosciences Wuhan China Wuhan China School of Remote Sensing and Information Engineering Wuhan University Wuhan China Wuhan city China

ISBN: (纸本)9781450371483

As the typical man-made objects, buildings play a special role in remote sensing images. This paper proposes a building scene recognition method based on deep multiple instance convolutional neural network. Scene classification is formulated as a multiple instance learning (MIL) problem in which local scene regions are regarded as instances and assigned with different labels. Through a trainable MIL pooling based on a spatial attention mechanism to select the most relevant instances adaptively and produce the scene-level predictions. Experimental results on UCM data set and small targets data set collected based on the GF-2 show that the method can improve the accuracy of building scene recognition using high resolution remote sensing image. Particularly, it solves the problem that it is difficult to detect the small buildings correctly and provide a new idea of scene recognition of buildings.

关键词： building scene recognition convolutional neural network(CNN) multiple instance learning(MIL) small building targets

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Maritime small targets Detection Method for Passive Bistatic Radar Using Non-Cooperative Radar as Illuminator of Opportunity

Maritime Small Targets Detection Method for Passive Bistatic...

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signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Song Jie Wang Guoqing Zhang Caisheng Research Institute of Information Naval Aviation University YanTai China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

This paper proposes the maritime small targets detection method of passive bistatic radar (PBR) using a noncooperative pulse radar as an illuminator. Compared with other opportunity illuminators, the transmitting signal of a radar usually has a better ambiguity function, which leads to a higher range resolution, but there is a problem that radar transmitting signal parameters are unknown, and radar signal processing, such as pulse compression, non-coherent integration, and CFAR processing cannot be conducted accurately. The proposed method estimates radar signal parameters from the direct-path signal, and uses estimated parameters to radar signal processing of the scattered echo. The experiments use the shore-based maritime surveillance radar as a transmitter and ships in the harbor as the targets, which show that the proposed method can be applied to maritime small targets detection successfully.

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New Doppler processing for the Detection of small and Slowly-Moving targets in Highly Ambiguous Radar Context 26

New Doppler Processing for the Detection of Small and Slowly...

引用

European signal processing conference (EUSIPCO)

作者： Aouchiche, Linda Ferro-Famil, Laurent Adnet, Claude Univ Rennes 1 Rennes France Thales Air Syst Limours France

ISBN: (纸本)9789082797015

This paper presents a novel Doppler processing scheme for pulse Doppler radars operating in at intermediate Pulse Repetition Frequency (PRF) and suffering from range and Doppler ambiguities. One of the main drawbacks of the classical Doppler processing approach concerns the suppression of small and slowly-moving targets when rejecting ground clutter returns. In order to address this problem a two-step Doppler method is proposed in this paper. The first step uses a new iterative algorithm that resolves ambiguities and detects fast (exo-clutter) targets. The detection of slow (endo-clutter) targets is then performed by an adaptive detection scheme that uses a new covariance matrix estimation technique. Pulse trains with different characteristics are then associated for enhanced detection performance.

关键词： Doppler effect Clutter Covariance matrices Training data signal resolution Estimation Doppler radar

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small targets recognition in SAR ship image based on improved SSD

Small targets recognition in SAR ship image based on improve...

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signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Yong Li Jing Chen Meng Ke Linghao Li Zegang Ding Yan Wang 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

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Synthetic Aperture Radar(SAR) ship recognition is significant in marine applications and plays an important role in maritime traffic management, fisheries management, and maritime rescue, etc. A major difficulty in SAR ship recognition is that the SAR ships have a small size in images, which results in low recognition accuracy of the SSD. This paper first analyzes the reasons for the low recognition accuracy for small targets in SSD. First, the poor matching of the default boxes leads to a small number of positive samples. Second, the representation a bility of low-level feature map for recognizing small targets is weak. Then two strategies are proposed to improve the SSD. Firstly, a default box optimization design method based on Kmeans clustering is proposed, which improves the matching performance of the default boxes. Secondly, a feature fusion method based on deconvolution is proposed, which effectively improves the representation ability of low-level feature maps. The experimental results show that the proposed method can greatly improve the recognition accuracy of SSD for small targets in SAR ship images.

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The FPGA Implementation of Low-Altitude and Slow-Speed small Target Detection

The FPGA Implementation of Low-Altitude and Slow-Speed Small...

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signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Tianqu Liu Jinping Sun Wei Shangguan School of Electronic and Information Engineering Behang University Beijing China National Laboratory of Radar Signal Processing Xidian University Xi'an China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

In recent years, there are more and more low-altitude slow-speed aircrafts, like unmanned rotorcraft and powered parachute. Whether in the military or civilian fields, it is necessary to detect and track these targets. Hardware implementation of a low-altitude and slow-speed small (LSS) target detection method is presented in this paper. The spectrum zoom processing method is the core of this algorithm. There are many devices available to accomplish the LSS target detection algorithm, like GPU, DSP. In consideration of the fixed and repetitive operations at high data rate in this algorithm, the FPGA implementation scheme is a better choice to construct the processing system. We implement the LSS target detection in FPGA. The spectrum zoom processing operation is implemented by parallel group of FFT magnitude calculation modules, and the system is built on a processing board whose core is the XV7K325T chip.

关键词： LSS targets Spectrum zoom FPGA FFT Field programmable gate arrays Object detection Fast Fourier transform Low altitude LSS gene core

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Coherent Integration Technique for small targets in Passive Radar Based on LTE signals

Coherent Integration Technique for Small Targets in Passive ...

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signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Juan Rong Feifeng Liu Quanhua Liu Teng Long School of Mathematics and Statistics Beijing Institute of Technology Beijing China Key Laboratory of Electronic and Information Technology in Satellite Navigation(Beijing Institute of Technology) Ministry of Education Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Long-time coherent integration is an effective method to improve the detection performance of small targets in passive radar systems based on LTE signals. However, during long-time integration, both range migration and Doppler dispersion occurs and cannot be neglected, which seriously degrades the coherent integration gain. In this paper, keystone transform is used for range migration correction, and Fractional Fourier Transform (FRFT) is used for Doppler dispersion compensation. One of the key issues in the abovementioned processing is to estimate the Doppler ambiguity factor. And a parallel searching scheme of Doppler ambiguity factor resolution is proposed. The simulation results suggested the effectiveness of the proposed algorithm.

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Classification of FOD targets based on Polarimetric Characteristics

Classification of FOD Targets based on Polarimetric Characte...

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signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Yangliang Wan Fei Qin Yunlong Liu Xingdong Liang National Key Lab of Microwave Imaging Technology Institute of Electronics Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

The invasion of foreign object debris (FOD) on the airport runway seriously threatens the safety of flight, and the accurate small radar targets classification used for the hazard level discrimination is a challenge. In this paper, a classification method based on polarization information is proposed to be used for FOD targets classification. We utilize electromagnetic simulation software for obtaining radar cross section (RCS) polarimetric data in various incident angles based on typical FOD (e.g. Spanners, Screwdrivers, PVC Pipe) targets. In addition, polarization invariant is applied to characterize targets for classification using support vector machines (SVM). Experimental results indicate that this method can classify the three objects effectively and the great potential of polarization information for FOD targets classification.

关键词： foreign object debris (FOD) radar cross section (RCS) polarization invariant support vector machines (SVM)

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