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检索条件"机构=Tianjin Key Lab for Advanced Signal and Image Processing"

共 249 条记录，以下是151-160 订阅

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Infrared Small Target Detection Algorithm Based on Improved DeeplabV3+

Infrared Small Target Detection Algorithm Based on Improved ...

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Mengfei Qi Guimin Jia Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Infrared small target detection aims to segment small targets from the infrared images. Aiming at the problem of infrared small target detection, an improved algorithm is proposed based on DeeplabV3+ network. For the encoding part of DeeplabV3+, considering the small size of infrared small targets, the dilation rate of ASPP module is adjusted to capture the features of small targets more effectively. For the small targets are prone to lose spatial information during feature extraction, a location enhancement module is introduced to supplement accurate location information and to improve the accuracy of detection. In order to preserve detail information, an additional feature map is added from the backbone network to fuse detail information and semantic information for the decoding part of DeeplabV3+. Experimental results have demonstrated that the proposed algorithm is capable of enhancing the detection performance of DeeplabV3+ network in the infrared small target detection task.

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Aircraft Target Detection in Polsar image based on Region Segmentation and Multi-Feature Decision

Aircraft Target Detection in Polsar Image based on Region Se...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Ping Han Bin Lu Bo Zhou Binbin Han Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

This paper presents a novel aircraft target detection method based on the combination of region segmentation and multi-feature decision. First, the maximum entropy threshold is used to segment region of interest (ROI) like runway, apron and related regions from PolSAR image. Then suspected aircraft targets are extracted in ROI with the feature of dissimilation scattering power. Polarimetric scattering properties of targets and their environmental information are used to construct a detection feature for true aircraft decision from the suspected ones. Experimental results with measured data show that the algorithm can effectively detect aircraft targets with less false and missing alarm rates.

关键词： Aircraft Feature extraction Scattering Entropy Aircraft manufacture Radar polarimetry Aerospace electronics

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Wavelet Packet Transformation Based Technique in Mitigation DME Pulsed Interference for GNSS

Wavelet Packet Transformation Based Technique in Mitigation ...

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第五届中国卫星导航学术年会

作者： Liuli Li Wenyi Wang Dan Lu Lu Wang Renbiao Wu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9783642547362

The Galileo E5 and GPS L5 signals are important components of GNSS, however, the Galileo E5 and GPS L5 signals lie within the Aeronautical Radio Navigation Service (ARNS) band, where Distance Measuring Equipment (DME) works in, and strong pulsed interference originating from DME stations can degrade the performance of GNSS receivers. At high altitude, the worse DME interference environment is. Because the similarity between wavelet and DME pulse is higher than that of the GNSS signals, it is easier to detect and remove interference in wavelet packet domain. Although the wavelet packet transformation (WPT) based DME pulse mitigation had been proposed, but the parameters about WPT are not discussed systematically which pay important role in mitigation performance. This paper mainly discusses the parameters selection about WPT including wavelet, composition level, threshold rules and thresholding function. Mitigation Performance are assessed with respect to threshold rules and threholding function by Numerical experiments.

关键词： GNSS·DME·Wavelet packet transformation·Pulsed interference mitigation

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A New Technique for Improving the Anti-jamming Performance of Vector Tracking Loop

A New Technique for Improving the Anti-jamming Performance o...

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第九届中国卫星导航学术年会

作者： Ruihua Zhang Renbiao Wu Qiongqiong Jia Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

The GNSS is vulnerable so that it often faces the risk of jamming,and blanket jamming is one of the *** inversion algorithm is a commonly method used to solve this problem,however,the receiver will lose lock when GNSS satellites are close to RFI *** improve the receiver's anti-jamming performance in this harsh scene,a method of vector tracking loop(VTL) based on despread-respread(DR) algorithm is ***,this paper suppress oppressive ***,local reference signal is reconstructed according to predicted tracking loop ***,beamforming algorithm is *** analysis and simulation experiments verify that the VTL based on DR algorithm can reduce phase discriminator output errors,improve receiver's positioning performance,and has superior anti-jamming performance in harsh *** method proposed in this paper can be applied to arbitrary array without prior information of satellites' directions and is not sensitive to the error of *** to VTL based on EIG,VTL based on DR algorithm has lower complexity.

关键词： Vector tracking loop Anti-jamming Despread-respread algorithm Beamforming algorithm

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Action Recognition by Fusing Spatial-Temporal Appearance and The Local Distribution of Interest Points

Action Recognition by Fusing Spatial-Temporal Appearance and...

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2014 International Conference on Future Computer and Communication Engineering(ICFCCE 2014)

作者： Mengmeng Lu Liang Zhang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

The traditional Bag of Words(BOW) algorithm considers the frequency of visual words only, whereas it ignores their spatial and temporal correlations. Many methods have been designed to remedy this *** this paper, we propose a new descriptor to describe the local spatio-temporal distribution information of each point. This new descriptor, combined with HOG3 D, is used to describe human actions. K-means clustering algorithm is introduced to generate codebook of visual words, achieving the integration of two features under the BOW model. Finally, Support Vector Machine(SVM) is used for action recognition. We extensively test our method on the standard Weizmann and KTH action datasets. The results show its validity and good performance.

关键词： Action recognition,BOW,SVM,Local spatiotemporal distribution

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Human Behavior Recognition Based on Wavelet Moment and Regional Optical Flow

Human Behavior Recognition Based on Wavelet Moment and Regio...

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2014 International Conference on Future Computer and Communication Engineering(ICFCCE 2014)

作者： Manyi Wang Liang Zhang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

Motion history image(MHI) and motion energy image(MEI) can recognize simple actions effectively, but they can't represent the velocity information of the actions. Sometimes in the behavior recognition, we must take the speed into account. For example, touching a person, fierce and friendly touches are two totally different movements. The paper combines the wavelet moment of temporal motion descriptors(MHI and MEI) and the speed feature based on optical flow to represent the action. Wavelet moments are rotation, translation and scale invariance. Foreground is obtained from video sequences by background subtraction. Then we use Lucas-Kanade algorithm to get the regional optical flow information, whose direction amplitude can represent the velocity changes in different direction intervals. Experiments based on video sequences outdoor scenarios carried out to verify the effectiveness of the proposed method.

关键词： Human behavior recognition,MHI,MEI,Wavelet moment,Optical flow calculating

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Analysis of the wind turbine RCS and micro-Doppler feature based on FEKO

Analysis of the wind turbine RCS and micro-Doppler feature b...

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Integrated Communications, Navigation and Surveillance Conference, ICNS

作者： Weikun He Yuzhao Ma Yuluo Shi Xiaoliang Wang Siyuan Zhang Renbiao Wu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781479989539

As a kind of renewable and clean energy, wind energy has been widespread concerned by countries around the world. However, it is shown that wind turbines will have a serious impact on Air Traffic Control (ATC) communication, navigation and surveillance systems due to the complex electromagnetic scattering properties. Therefore, analysis of the wind turbine Radar Cross Section (RCS) and micro-Doppler feature are of great significance. FEKO is a suit of professional electromagnetic analysis tool which has a large advantage of calculating the RCS of wind turbines and other electrically large objects. The RCS of wind turbines is calculated by FEKO, and the variability of wind turbine RCS with azimuth and elevation angles is analyzed in the paper. Meanwhile, in order to further present the micro-Doppler features of wind turbine echo, wind turbine echo is simulated based on FEKO and the characteristics of wind turbine echo in time domain, frequency domain and time-frequency domain are also analyzed, by which we reveal the micro-Doppler features of wind turbine caused by the rotation of wind turbine blades. The great agreement between simulation and real data confirms the validity of the FEKO simulation results in the paper.

关键词： Wind turbines Blades Azimuth Electromagnetic scattering Simulation Mathematical model Solid modeling

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A NEW ALGORITHM FOR SPECKLE SUPPRESSION USING MATHEMATICAL MORPHOLOGY AND ADAPTIVE WEIGHTED TECHNIQUE

A NEW ALGORITHM FOR SPECKLE SUPPRESSION USING MATHEMATICAL M...

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： LI-HUI JIANG ZHEN-NI JIN FAN ZHANG RUI-HUA LIU Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin 300300

In this paper, a new morphological image-cleaning algorithm that preserves thin features while removing speckle noise is presented and *** this new algorithm, the multi-scale top-hat transformation and bottom-hat transformation are added into the conventional multi-scale morphological opening and closing *** differs from previous morphological filters in which it uses residual images to extract and smooth the *** coefficients of the multi-scale top-hat transformation and bottom-hat transformation are optimized by adaptive weighted *** paper also shows that the new filtering algorithm preserves thin features significantly and reduces the speckle index *** performance of the new filtering algorithm is superior to that of the conventional filtering methods.

关键词： Mathematical morphology Filtering Multi-scale Residual images Adaptive weighted technique

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Wind turbine clutter mitigation based on matching pursuits

Wind turbine clutter mitigation based on matching pursuits

引用

IET International Radar Conference 2015

作者： Weikun He Yuluo Shi Xiaoliang Wang Renbiao Wu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781510822023

Wind turbines could have a serious impact on Air Traffic Control (ATC) radar system because of the complex electromagnetic scattering properties. In this paper, matching pursuit technology is studied to mitigate the wind turbines interference. Due to the large amount of calculation in the conventional MP algorithm, rotation rate of wind turbine and radar azimuth are firstly estimated based on the priori information, then matching pursuit algorithm is applied to mitigate the wind turbine clutter. Effectiveness of the proposed method is verified via simulation experiments.

关键词： Wind Turbines Clutter Suppression Matching Pursuit Wind Energy Conversion Systems matching pursuits clutter suppression clutter explosive quantity calculating

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Estimation of airfield pavement void thickness using GPR

Estimation of airfield pavement void thickness using GPR

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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)

作者： Changmiao Duan Renbiao Wu Jiaxue Liu Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

Ground Penetrating Radar (GPR) technique has been successfully used in the detection and identification of void under airfield pavement, but the estimation of void thickness is still in need of solving. In this paper, the seismic thin-layer theory is first introduced to analyze the amplitude response of void reflection. Then a new method was proposed for the determination of void thickness by the modified quantitative calculation formula. Simulation results show that the proposed method can outperform the conventional tuning thickness method.

关键词： Ground penetrating radar Reflection Tuning Concrete Reflectivity Numerical models

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