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检索条件"机构=Science and Technology on Automatic Target Recognition Laboratory"

共 295 条记录，以下是61-70 订阅

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Pose estimation for monocular image object using convolution neural network 2

Pose estimation for monocular image object using convolution...

引用

2nd International Symposium on Computer Engineering and Intelligent Communications, ISCEIC 2021

作者： Li, Hangyu Wu, Han Zhang, Zhilong Li, Chuwei National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Changsha China

ISBN: (纸本)9781665441605

Obtaining the accurate position and attitude of the object is the key to realize rendezvous and docking, on-orbit maintenance and other related tasks of space spacecraft. However, for non-cooperative objects, they lack prearranged cooperation sign, which would make it much more difficult to estimate their pose. Therefore, this paper attempts to use the powerful feature learning ability of neural network to establish the mapping relationship between the object in image and its current pose, then regresses the pose parameters of the object from a monocular image. Finally, we tested and verified the network on the public satellite dataset called Speed. The results showed that the translation error was 0.1237 and the rotation error was 0.1335. © 2021 IEEE.

关键词： Orbits

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Robust single stage detector based on two-stage regression for SAR ship detection 18

Robust single stage detector based on two-stage regression f...

引用

2nd International Conference on Innovation in Artificial Intelligence, ICIAI 2018

作者： Chen, Shi-Qi Zhan, Rong-Hui Zhang, Jun Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781450363457

automatic ship detection in SAR imagery plays an indispensable role in the surveillance of maritime activity. With the spring of the deep neural network and the rapid development of SAR imaging technique, SAR ship detection based on deep convolutional neural networks has attracted increasing attention in remote sensing imagery interpretation. However, the ships of variant sizes (multiscale) and complicated background result in the essential challenge of using deep learning based methods. The initial motivation of this paper is to design a structure that can achieve better accuracy as well as maintain compatible time efficiency on small object detection. Aiming at solving this problem, we develop anelaborately designed network based on single-shot detector and two-stage regression called Robust two-stage regression network (R2RN). Our network comprises an anchor modified first module and an object detection second module as well as the connective block between them which inherits the essence of feature pyramid. Experiments on SAR ship dataset have demonstrated the effectiveness and efficiency of the proposed method. © 2018 Association for Computing Machinery.

关键词： Object detection

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A study of the adapting schematics for text-independent online writer identification 9

A study of the adapting schematics for text-independent onli...

引用

9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016

作者： Wu, Yabei Lu, Huanzhang Zhang, Zhiyong Zhao, Fei Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781509037100

In the Gaussian mixture model based online writer identification system, the writer specific models are usually learned by adapting the universal background model. However, among all the possible adapting plans, which one performs best is still an unsolved problem, as well as the underlying principles. Towards finding the answer, this paper analyses all the combinations of the parameter adaptation. The conclusion is that the local and global adapting plan make use of different information for discrimination. Adapting both the local and global aspect is capable of use the both information for discrimination. In the experiments, a study of 5 specific adapting plans is performed in different available test data, relevance factor, number of mixtures and feature set, which shows the advantages of the plan adapting both aspects. On the point based feature set, the weight adapting plan performs better than the mean adapting plan, which is contradict with the current research. On the all point based feature set, the plan adapting both the mean and weight acquired competitive performance with the state-of-the-art. © 2016 IEEE.

关键词： Gaussian distribution

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Range migration compensation for moving targets in chirp radars with stepped frequency

Range migration compensation for moving targets in chirp rad...

引用

IET International Radar Conference 2018, IRC 2018

作者： Sen, Wang Qinglong, Bao Zengping, Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

Long-time coherent pulse integration method has been extensively used in detecting weak targets, but the detection performance is affected by range migration (RM) due to high radial velocity. This study proposes a new modulation format of chirp radars with stepped frequency and a corresponding coherent integration method based on adjacent cross-correlation operation (ACCO) to compensate RMs of moving targets with, respectively, arbitrary unknown constant velocity. Simulation results show that the method has higher range resolution compared with bandwidth variation modulation and shorter blind distance compared with duration variation modulation. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Modulation

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A fast implementation of a SAR intra-vein convolutional modulation algorithm 7

A fast implementation of a SAR intra-vein convolutional modu...

引用

2022 7th International Conference on Information science, Computer technology and Transportation, ISCTT 2022

作者： Ji, Xuhuan Tao, Huamin Wang, Zhuang Xiao, Shanzhu Gao, Henan Wang, Junpeng Key Laboratory of Automatic Target Recognition National University of Defense Technology China

ISBN: (纸本)9783800760565

The implementation of Synthetic Aperture Radar (SAR) intrapulse convolution modulation has the problem of a large amount of calculation and poor real-time performance. This paper proposes a fast realization method of SAR intrapulse convolution modulation based on a Field-Programmable Gate array (FPGA) to solve the above problems. Firstly, the time-domain template completes the Fast Fourier transform (FFT) offline and sends it to the FPGA for storage. After that, the multi-channel interpolation calculation is performed on the radar pulse signal online through the FPGA. Replacing time-domain convolution with a time-frequency product can improve real-time performance and reduce resource occupancy. Simulation and field experimental results demonstrate the feasibility of the scheme. The practical simulation test result is compared with multiple groups of implementations, which proves that this implementation has a more incredible implementation speed than the Personal Computer (PC)and Digital Signal Processing (DSP). © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Fast Fourier transforms

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An improved track association algorithm based on AdaBoost and decision tree 4

An improved track association algorithm based on AdaBoost an...

引用

4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021

作者： Xu, Zhen Fang, Liu National Defense Science and Technology University National Key Laboratory of Science and Technology on Automatic Target Recognition Hunan Changsha China

ISBN: (纸本)9781665415965

Aiming at the problem that the parameters of fuzzy track association algorithm are subjective and numerous, and the robustness of the algorithm is poor when the sensor measurement is lost and the target maneuvers, an improved track association algorithm based on AdaBoost and decision tree is proposed. The algorithm transforms the track association problem into a binary classification problem. Firstly, based on the measurement of the dispersion between local tracks, the association factor set of the local tracks of two sensors is transformed into a data set which is easy to classify. Then, the AdaBoost and decision tree algorithm are used to train a strong classifier using the historical track association information. Finally, the strong classifier is used to classify the new local track information of multi-sensor, then the local track association results are obtained. Simulation results show that the algorithm can deal with the track association problem of multi-target maneuvering cross motion when the measurement is lost, and the track association accuracy is higher than the existing fuzzy track association algorithm. © 2021 IEEE.

关键词： Adaptive boosting

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InISAR imaging of dechirp data under squint model

InISAR imaging of dechirp data under squint model

引用

作者： Tian, Biao Li, Gang Xu, Shiyou Chen, Zengping Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781934142301

Aiming at InISAR imaging of dechirp data under squint modela new method based on squint iteration optimization (SIO) and distortion correction (DC) is proposed in this paper. The squint model induces the influence of accessional phase and image distortion. The 3D imaging results degrade seriously when the squint angle is big. Through a few times of squint iteration optimization and distortion correction, the estimation precision and the imaging quality are improved. Simulation results demonstrate the effectiveness of the method.

关键词： Radiation

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Rapid high-accuracy modeling simulation method for full trajectory of the ballistic missile

Rapid high-accuracy modeling simulation method for full traj...

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作者： Wu, Jianhua Li, Gang Chen, Jian Xu, Shiyou Chen, Zengping Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781934142301

In view of the existing problems of trajectory model for ballistic missile, a method for full trajectory model of a ballistic missile over a rotating, ellipsoid earth has been developed. The method is based on the theory of minimal energy. The error of flight range is calculated with the method of Bessel's geodetic inverse solution and fourth-order Runge-Kutta, and then corrected by dichotomy iteration. The process is repeated until the ballistic missile impacts the target location within a predefined miss distance tolerance. Simulation results show that both the speed of ballistic generation and confidence get a noticeable rise with the established trajectory model in this paper.

关键词： Ballistic missiles

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A CA-GCI based consensus fusion approach for distributed sensors with different fields of view 2

A CA-GCI based consensus fusion approach for distributed sen...

引用

2021 2nd International Conference on Signal Processing and Computer science, SPCS 2021

作者： Ma, Feng Lu, Huanzhang Zhang, Luping Shen, Xinglin National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Changsha410073 China

This paper is concerned with the distributed fusion problem of sensors with different fields of view (FoVs). The recently derived CA-GCI method provides solution to the fusion problem of sensors with different Fovs. However, it does not mention about the way that how to share information among more than 3 sensors. Consensus method is suitable for information sharing in distributed network, but it always based on the assumption that the sensors all have the same FoV. Thus the existing method cannot be applied directly. Based on the combination of the consensus method and the newly derived CA-GCI method, this paper proposes a consensus fusion approach for the sensors with different FoVs in a distributed network. Furthermore, this paper derives the minimum iteration steps required to ensure the network consensus is |N|_1, where |N| represents the number of nodes in the networks. Simulation results demonstrate the effectiveness of the proposed approach. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Iterative methods

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Channel equilibration in wideband digital array radar test-bed

Channel equilibration in wideband digital array radar test-b...

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作者： Li, Weixing Lin, Jianzhi Wang, Weihua Tian, Biao Chen, Zengping Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781934142301

In actual digital array radar (DAR) systems, analog components will cause frequency-dependent amplitude and phase mismatch among receive channels. This paper demonstrates the design and implement of the channel equilibration subsystem of an 8-element DAR test-bed. An ultra-wideband waveform generator is designed for generating various calibration signals and the pre-distortion algorithm is presented to compensate for the reconstruction errors. In the receive channels, an improved inverse Fourier Transform algorithm for filter design is investigated in detail based on analysis of real receive channels. The processing results of measured data show the high performance of channel equilibration algorithms.

关键词： Radar

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