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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 2010"

共 976 条记录，以下是241-250 订阅

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Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences

Improving variance estimation ratio score calculation for sl...

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25th SPIE conference on signal and data processing of small targets

作者： Huber-Shalem, Revital Hadar, Ofer Rotman, Stanley R. Huber-Lerner, Merav Evstigneev, Stanislav Ben Gurion Univ Negev Dept Commun Syst Engn POB 653 IL-84105 Beer Sheva Israel Ben Gurion Univ Negev Dept Elect & Comp Engn POB 653 IL-84105 Beer Sheva Israel

ISBN: (纸本)9780819497079

Infrared (IR) imagery sequences are commonly used for detecting moving targets in the presence of evolving cloud clutter or background noise. This research focuses on slow moving point targets that are less than one pixel in size, such as aircraft at long ranges from a sensor. The target detection performance is measured via the variance estimation ratio score (VERS), which essentially calculates the pixel scores of the sequences, where a high score indicates a target is suspected to traverse the pixel. VERS uses two parameters - long and short term windows, which were predetermined individually for each movie, depending on the target velocity and on the clouds intensity and amount, as opposed to clear sky (noise), in the background. In this work, we examine the correlation between the sequences' spatial and temporal features and these two windows. In addition, we modify VERS calculation, to enhance target detection and decrease cloud-edge scores and false detection. We conclude this work by evaluating VERS as a detection measure, using its original version and its modified version. The test sequences are both original real IR sequences as well as their relative compressed sequences using our designated temporal DCT quantization method.

关键词： compression cosine filter discrete cosine transform (DCT) infrared (IR) imagery spatial characteristics temporal characteristics variance estimation ratio score

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CQI Table Design to Support 256 QAM in small Cell Environment

CQI Table Design to Support 256 QAM in Small Cell Environmen...

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International conference on Wireless Communications and signal processing (WCSP)

作者： Mu, Qin Liu, Liu Chen, Lan Jiang, Yu DOCOMO Beijing Commun Labs Co Ltd Beijing Peoples R China

ISBN: (纸本)9781479903085

The mobile data traffic is expected to grow beyond 1000 times by 2020 compared with it in 2010. In order to support 1000 times of capacity increase, improving spectrum efficiency is one of the important approaches. Meanwhile, in Long Term Evolution (LTE)-Advanced, small cell and hotspot are important scenarios for future network deployment to increase the capacity from the network density domain. Under such environment, the probability of high signal to Interference plus Noise Ratio (SINR) region becomes larger which brings the possibility of introducing higher order modulation, i.e., 256 Quadrature Amplitude Modulation(QAM) to improve the spectrum efficiency. Channel quality indicator (CQI) table design is a key issue to support 256 QAM. In this paper, we investigate the feasibility of 256 QAM by SINR geometry and propose two methods on CQI table design to support the 256 QAM transmission. Simulation results show proposed methods can improve average user equipment (UE) throughput and cell center UE throughput with almost no loss on cell edge UE throughput.

关键词： CQI table design Higher Order Modulation small Cell LTE-Advanced Release 12

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Detection of shallow buried objects using an autoregressive model on the ground penetrating radar signal

Detection of shallow buried objects using an autoregressive ...

引用

conference on Detection and Sensing of Mines, Explosive Objects, and Obscured targets XVIII

作者： Nabelek, Daniel P. Ho, K. C. Univ Missouri Dept Elect & Comp Engn Columbia MO 65211 USA

ISBN: (纸本)9780819495006

The detection of shallow buried low-metal content objects using ground penetrating radar (GPR) is a challenging task. This is because these targets are right underneath the ground and the ground bounce reflection interferes with their detections. They do not create distinctive hyperbolic signatures as required by most existing GPR detection algorithms due to their special geometric shapes and low metal content. This paper proposes the use of the Autoregressive (AR) modeling method for the detection of these targets. We fit an A-scan of the GPR data to an AR model. It is found that the fitting error will be small when such a target is present and large when it is absent. The ratio of the energy in an A-scan before and after AR model fitting is used as the confidence value for detection. We also apply AR model fitting over scans and utilize the fitting residual energies over several scans to form a feature vector for improving the detections. Using the data collected from a government test site, the proposed method can improve the detection of this kind of targets by 30% compared to the pre-screener, at a false alarm rate of 0.002/m(2).

关键词： Classification Ground Penetrating Radar signal processing

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Comparison of Measured and Simulated IR signals from a Scaled Model Ship

Comparison of Measured and Simulated IR Signals from a Scale...

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25th SPIE conference on signal and data processing of small targets

作者： Kim, Dong-Geon Han, Kuk-Il Choi, Jun-Hyuk Kim, Tae-Kuk Chung Ang Univ Dept Mech Engn Seoul 156756 South Korea

ISBN: (纸本)9780819497079

The goal of the present study is to develop a S/W that predicts infrared signals from objects synthetically by considering the internal and external factors, such as surface properties, internal heat sources, solar irradiations, atmospheric temperature, etc. As a part of developing a S/W, this paper contains some results of the measured and simulated IR signals for comparison and validation. The scaled model ship used in this study is made of 3mm-thick steel and 1.5m long. It has virtual internal heat sources that are made of a brass block with a heater. The experiments are performed under an indoor environment to exclude the external effects such as solar irradiance, wind effect, etc. The radiance from the ship is mainly due to the surface temperature because the effects of solar and wind are excluded. Also the IR signals are collected by the IR cameras which are operated at MWIR(3.7 similar to 5.1 mu m) and LWIR(7.5 similar to 9.1 mu m), respectively. At the same time, the atmospheric temperature and the relative humidity are measured to use for input conditions for calculation. The surface temperature and the IR signals within the two wavelengths are calculated by using the S/W developed in this study considering the 3D ship model, the internal heater temperature, and the atmospheric conditions. The temperature and IR signals from the scaled model ship obtained from measurements and from the S/W developed in this study are compared each other by showing fairly good agreements with each other.

关键词： Surface temperature IR signal Scaled model ship Heat source

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A robust motion compensation algorithm for ISAR imaging of sea-surface targets by Airborne Radar

A robust motion compensation algorithm for ISAR imaging of s...

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2013 IEEE International conference on signal processing, Computing and Control, ISPCC 2013

作者： Mohapatra, B.B. Jaisaval, Vinod K. Rajagopal, Suchith Electronics and Radar Development Establishment DRDO C.V. Raman Nagar Bangalore India

ISBN: (纸本)9781467361903

Motion compensation is the most critical part of Inverse Synthetic Aperture Radar (ISAR) processing in Airborne Radars. For an X-band Airborne Radar where resolution requirement is not sub-metric, Range-Doppler algorithm is the preferred choice to generate ISAR images due to small rotation angle requirement. In addition when both the radar platform and target are expected to move at nearly steady course and speed within the image formation interval, the use of highly sophisticated motion compensation algorithms is not desirable. This paper presents a robust and computationally efficient algorithm for translational motion compensation based on batch profile correlation. The algorithm is robust to background noise and target scintillation effects. It removes the problem of error accumulation inherent in peak-tracking method and avoids limitation of range-shift in integer steps. The effectiveness of the approach is verified by applying the algorithm to simulated ISAR data as well as actual ISAR data collected by an X-band airborne radar. The ISAR data simulation and processing are carried out using MATLAB. Different noise levels and target amplitude fluctuation are added to the simulated ISAR data to test the robustness of the algorithm. © 2013 IEEE.

关键词： Inverse synthetic aperture radar

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Operational Field Evaluation of the PAC-MAG Man-Portable Magnetometer Array

Operational Field Evaluation of the PAC-MAG Man-Portable Mag...

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conference on Detection and Sensing of Mines, Explosive Objects, and Obscured targets XVIII

作者： Keranen, Joe Topolosky, Zeke Schultz, Gregory Miller, Jonathan White River Technol Etna NH 03750 USA

ISBN: (纸本)9780819495006

Detection and discrimination of unexploded ordnance (UXO) in areas of prior conflict is of high importance to the international community and the United States government. For humanitarian applications, sensors and processing methods need to be robust, reliable, and easy to train and implement using indigenous UXO removal personnel. This paper describes system characterization, system testing, and a continental United States (CONUS) Operational Field Evaluations (OFE) of the PAC-MAG man-portable UXO detection system. System testing occurred at a government test facility in June, 2010 and December, 2011 and the OFE occurred at the same location in June, 2012. NVESD and White River Technologies personnel were present for all testing and evaluation. The PAC-MAG system is a man-portable magnetometer array for the detection and characterization of ferrous UXO. System hardware includes four Cesium vapor magnetometers for detection, a Real-time Kinematic Global Position System (RTK-GPS) for sensor positioning, an electronics module for merging array data and WiFi communications and a tablet computer for transmitting and logging data. An odometer, or "hipchain" encoder, provides position information in GPS-denied areas. System software elements include data logging software and post-processing software for detection and characterization of ferrous anomalies The output of the post-processing software is a dig list containing locations of potential UXO(s), formatted for import into the system GPS equipment for reacquisition of anomalies Results from system characterization and the OFE will be described.

关键词： operational field evaluation humanitarian demining magnetics signal processing unexploded ordnance

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Fusion of multispectral and stereo information for unsupervised target detection in VHR airborne data

Fusion of multispectral and stereo information for unsupervi...

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conference on signal processing, Sensor Fusion, and Target Recognition XXII

作者： Borghys, Dirk C. Idrissa, Mahamadou Shimoni, Michal Friman, Ola Axelsson, Maria Lundberg, Mikael Perneel, Christiaan Royal Mil Acad Dept CISS Brussels Belgium Swedish Def Res Agy Linkoping Sweden Royal Mil Acad Dept Math Brussels Belgium

ISBN: (纸本)9780819495365

Very high resolution multispectral imaging reached a high level of reliability and accuracy for target detection and classification. However, in an urban scene, the complexity is raised, making the detection and the identification of small objects difficult. One way to overcome this difficulty is to combine spectral information with 3D data. A set of (very high resolution) airborne multispectral image sequences was acquired over the urban area of Zeebrugge, Belgium. The data consist of three bands in the visible (VIS) region, one band in the near infrared (NIR) range and two bands in the mid-wave infrared (MWIR) region. Images are obtained images at a frame rate of 1/2 frame per second for the VIS and NIR image and 2 frames per second for the MWIR bands. The sensors have a decimetric spatial resolution. The combination of frame rate with flight altitude and speed results in a large overlap between successive images. The current paper proposes a scheme to combine 3D information from along-track stereo, exploiting the overlap between images on one hand and spectral information on the other hand for unsupervised detection of targets. For the extraction of 3D information, the disparity map between different image pairs is determined automatically using an MRF-based method. For the unsupervised target detection, an anomaly detection algorithm is applied. Different methods for inserting the obtained 3D information into the target detection scheme are discussed.

关键词： target detection people detection vehicle detection aerial images stereo processing multispectral data

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Electromagnetic Packable Technology (EMPACT) for Detection and Characterization of Ordnance in Post-Conflict Areas

Electromagnetic Packable Technology (EMPACT) for Detection a...

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conference on Detection and Sensing of Mines, Explosive Objects, and Obscured targets XVIII

作者： Schultz, Gregory Miller, Jonathan Keranen, Joe White River Technol Etna NH 03750 USA

ISBN: (纸本)9780819495006

Land reclamation efforts in post-conflict regions are often hampered by the presence of Unexploded Ordnance (UXO) or other Explosive Remnants of War (ERW). Surface geophysical methods, such as Electromagnetic Induction (EMI) and magnetometry, are typically applied to screen rehabilitation areas for UXO prior to excavation;however, the prevalence of innocuous magnetic clutter related to indigenous scrap, fragmentation, or geology can severely impede the progress and efficiency of these remediation efforts. Additionally, the variability in surface conditions and local topography necessitates the development of sensor technologies that can be applied to a range of sites including those that prohibit the use of vehicle-mounted or large array systems. We present a man-portable EMI sensor known as the Electromagnetic Packable Technology (EMPACT) system that features a multi-axis sensor configuration in a compact form factor. The system is designed for operation in challenging site conditions and can be used in low ground-standoff modes to detect small and low-metal content objects. The EMPACT acquires high spatial density, multi-axis data that enable high resolution of small objects. This high density data can also be used to provide characterization of target physical features, such as size, material content, and shape. We summarize the development of this system for humanitarian demining operations and present results from preliminary system evaluations against a range of target types. Specifically, we assess the general detection capabilities of the EMPACT system and we evaluate the potential for target classification based on analysis of data and target model features.

关键词： operational field evaluation humanitarian demining magnetics signal processing unexploded ordnance

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An Onboard Computing System Design for a Remote Sensing CubeSat

An Onboard Computing System Design for a Remote Sensing Cube...

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conference on Sensors and Systems for Space Applications VI

作者： Straub, Jeremy Univ N Dakota Dept Comp Sci Grand Forks ND 58202 USA

ISBN: (纸本)9780819495303

Characterization activities related to near-Earth asteroids (NEAs) provide several societal benefits. This work can serve as a precursor to a human exploration mission, it can facilitate the assessment of targets for resource extraction, and it can serve as preparation for intervention against the threat posed by an Earth impactor (EI). One objective of ongoing work at the University of North Dakota is to develop the capabilities required for NEA characterization. A CubeSat-class spacecraft will serve to demonstrate and test these required technologies on-orbit. This 1U CubeSat, which is compliant with NASA ELaNA CubeSat Launch Initiative requirements, will be comprised of standard subsystems (excluding propulsion) and a payload consisting of a visible light camera, a limited radio science package and a GPS receiver. The craft will also feature extensive onboard computing capabilities to allow it to process data to perform mosaicking, super-resolution and rudimentary image feature identification and analysis. This paper focuses on the onboard computing subsystem of this spacecraft which consists of a standard flight computer based on the AMTEL AT91SAM9G20 chipset and a supplemental processing unit based on several GumStix computer-on-module (COM) units. The key design requirement: having an always-on primary processing unit and supplemental capabilities (including a digital signal processor) that can be powered on for use only when required and how the current design meets these requirements is reviewed. A detailed review of the spacecraft's design and mission operations plan is presented. The numerous trades required to allow the requisite payload and onboard processing hardware to fit within the size and weight limitations posed by the 1U CubeSat form factor are discussed. Finally, the paper concludes with a review of the functionality provided by the spacecraft and the future capabilities that this functionality will facilitate.

关键词： onboard computing command and data handling spacecraft near-Earth Asteroid CubeSat small spacecraft

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TARGET ESTIMATION IN COLOCATED MIMO RADAR VIA MATRIX COMPLETION

TARGET ESTIMATION IN COLOCATED MIMO RADAR VIA MATRIX COMPLET...

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IEEE International conference on Acoustics, Speech, and signal processing

作者： Shunqiao Sun Athina P. Petropulu Waheed U. Bajwa Department of Electrical & Computer Engineering Rutgers The State University of New Jersey

ISBN: (纸本)9781479903573

We consider a colocated MIMO radar scenario, in which the receive antennas forward their measurements to a fusion center. Based on the received data, the fusion center formulates a matrix which is then used for target parameter estimation. When the receive antennas sample the target returns at Nyquist rate, and assuming that there are more receive antennas than targets, the data matrix at the fusion center is low-rank. When each receive antenna sends to the fusion center only a small number of samples, along with the sample index, the receive data matrix has missing elements, corresponding to the samples that were not forwarded. Under certain conditions, matrix completion techniques can be applied to recover the full receive data matrix, which can then be used in conjunction with array processing techniques, e.g., MUSIC, to obtain target information. Numerical results indicate that good target recovery can be achieved with occupancy of the receive data matrix as low as 50%.

关键词： Receiving antennas targets Fusion reactions FUSION fusion (melting) ANTENNA matrices matrix radar Fusion, biological Nyquist rate Array processing Multiple signal classification

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