Polarimetric synthetic aperture radar (PolSAR) image interpretation tends to design complex models to describe data distribution, but there is little research on simplifying the complexity of image scenes and reducing...
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Convolutional neural networks(CNNs)based methods for automatic discriminant of prohibited items in X-ray images attract attention ***,it is difficult to train a reliable CNN model using the available X-ray security im...
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Convolutional neural networks(CNNs)based methods for automatic discriminant of prohibited items in X-ray images attract attention ***,it is difficult to train a reliable CNN model using the available X-ray security image databases,since they are not enough in sample quantity and ***,generative adversarial network(GAN)has been widely used in image generation and regarded as a power model for data *** this paper,we propose a data augmentation method for X-ray prohibited item images based on ***,the network structure and loss function of the self-attention generative adversarial network(SAGAN)are improved to generate the realistic X-ray prohibited item ***,the images generated by our model are evaluated using GAN-train and *** results of GAN-train and GAN-test are 99.91%and 98.82%*** implies that our model can enlarge the X-ray prohibited item image database effectively.
In this paper we propose a novel speckle suppression method based on the joint of wavelet transform(WT) and independent component analysis (ICA).The method employs ICA to process the wavelet coefficients of images,ext...
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ISBN:
(纸本)0780397371
In this paper we propose a novel speckle suppression method based on the joint of wavelet transform(WT) and independent component analysis (ICA).The method employs ICA to process the wavelet coefficients of images,extracting the independent components which represent the uncorrupt images. Experimental results based on SAR(Synthetic Aperture Radar) images of MSTAR(Moving and Stationary Target Acquisition and Recognition) dataset show that the proposed method suppresses speckle effectively,and outperforms ICA and Lee filter.
To improve the efficiency of finger-vein recognition system over a large database, this paper proposed a level-based framework for automatically categorizing finger-vein images. The proposed framework consists of two ...
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This paper presents a novel local-feature-based algorithm to track objects through frames. Real-time performance and occlusion are great challenges in object tracking. Local features are more distinctive than global f...
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In this paper, a new preprocessing approach is proposed for SAR ATR. The effect of DC (Direct Current) bias among images on the ATR performance is studied and a new preprocessing method is proposed. The alignment, amp...
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This paper proposes a robust vector tracking loop structure based on potential bias analysis. The influence of four kinds of biases on the existing two implementations of Vector Tracking Loops(VTLs) is illustrated by ...
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This paper proposes a robust vector tracking loop structure based on potential bias analysis. The influence of four kinds of biases on the existing two implementations of Vector Tracking Loops(VTLs) is illustrated by theoretical analysis and numerical simulations, and the following findings are obtained. Firstly, the initial user state bias leads to steady navigation solution bias in the relative VTL, while new measurements can eliminate it in the absolute VTL. Secondly, the initial code phase bias is transferred to the following navigation solutions in the relative VTL, while new measurements can eliminate it in the absolute VTL. Thirdly, the user state bias induced by erroneous navigation solution of VTLs can be eliminated by both of the two VTLs. Fourthly,the multipath/NLOS likely affects the two VTLs, and the induced tracking bias in the duration of the multipath/NLOS would decrease the performance of VTLs. Based on the above analysis,a robust VTL structure is proposed, where the absolute VTL is selected for its robustness to the two kinds of initialization biases;meanwhile, the instant bias detection and correction method is used to improve the performance of VTLs in the duration of the multipath/NLOS. Numerical simulations and experimental results verify the effectiveness of the proposed robust VTL structure.
Civil Aviation's Radiotelephony Communication (CARC) in hina involves Chinese and English. Due to the particular grammatical structure and pronunciation of CARC, the universal cross-lingual acoustic model isn'...
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Landmines and unexploded ordnances are causing tremendous problems in a large number of areas throughout the world today. The ultra wideband GPR Ground Penetrating Radar is a useful tool for plastic landmine detection...
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Landmines and unexploded ordnances are causing tremendous problems in a large number of areas throughout the world today. The ultra wideband GPR Ground Penetrating Radar is a useful tool for plastic landmine detection. For shallowly buried plastic mine, removing the ground bounce with much more energy than useful signal and with the same arrival time as useful signal is very important to following detection, SAR imaging and target recognition. This paper presents an adaptive ground bounce removal method based on Kernel ICA (KICA) algorithm and adaptive ICs selection. Experimental results based on field-test data show that the proposed method is performing very well.
Multipath is a common factor that degrade the performance of Global Navigation Satellite System (GNSS), especially in urban canyon and indoor environments. Due to the reflection of surrounding buildings, multiple Non-...
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