检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

489 篇 会议
33 篇 期刊文献

馆藏范围

522 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

351 篇 工学
- 273 篇 信息与通信工程
- 137 篇 计算机科学与技术...
- 96 篇 软件工程
- 86 篇 电子科学与技术（可...
- 50 篇 航空宇航科学与技...
- 49 篇 控制科学与工程
- 41 篇 仪器科学与技术
- 38 篇 光学工程
- 27 篇 机械工程
- 20 篇 电气工程
- 20 篇 生物工程
- 19 篇 土木工程
- 17 篇 建筑学
- 16 篇 化学工程与技术
- 10 篇 环境科学与工程（可...
- 9 篇 测绘科学与技术
- 8 篇 安全科学与工程
- 6 篇 动力工程及工程热...
166 篇 理学
- 103 篇 数学
- 27 篇 统计学（可授理学、...
- 26 篇 生物学
- 24 篇 物理学
- 18 篇 化学
- 12 篇 大气科学
- 8 篇 地质学
- 8 篇 系统科学
41 篇 管理学
- 22 篇 管理科学与工程(可...
- 20 篇 图书情报与档案管...
13 篇 农学
- 8 篇 农业资源与环境
- 5 篇 作物学
11 篇 军事学
1 篇 经济学
1 篇 法学
1 篇 教育学

主题

89 篇 synthetic apertu...
22 篇 radar
22 篇 radar imaging
20 篇 feature extracti...
16 篇 object detection
15 篇 radar polarimetr...
15 篇 target recogniti...
15 篇 field programmab...
13 篇 training
12 篇 remote sensing
11 篇 sar
11 篇 accuracy
10 篇 convolutional ne...
9 篇 data processing
9 篇 signal to noise ...
9 篇 target tracking
9 篇 radar tracking
9 篇 convolution
9 篇 field programmab...
8 篇 imaging

机构

215 篇 beijing key labo...
147 篇 beijing key labo...
72 篇 radar research l...
61 篇 school of inform...
50 篇 beijing institut...
36 篇 advanced technol...
33 篇 beijing key labo...
25 篇 chongqing innova...
21 篇 radar technology...
19 篇 radar research l...
17 篇 beijing key labo...
17 篇 school of electr...
15 篇 school of inform...
13 篇 beijing key labo...
12 篇 beijing key labo...
11 篇 zhengzhou academ...
11 篇 shanghai institu...
10 篇 beijing institut...
9 篇 the advanced tec...
8 篇 school of inform...

作者

52 篇 ding zegang
40 篇 chen he
39 篇 he chen
35 篇 chen liang
33 篇 hu cheng
30 篇 wang yanhua
28 篇 liang chen
26 篇 xie yizhuang
26 篇 zegang ding
25 篇 li yang
25 篇 zeng tao
24 篇 cheng hu
24 篇 tao zeng
20 篇 linbo tang
20 篇 wang rui
19 篇 zhang liang
19 篇 yanhua wang
19 篇 tang linbo
18 篇 zhao baojun
17 篇 teng long

语言

503 篇 英文
16 篇 其他
3 篇 中文

检索条件"机构=BeijingKey Laboratory of Embedded Real-Time Information Processing Technology"

共 522 条记录，以下是241-250 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Robust knowledge-aided sparse recovery STAP method for non-homogeneity clutter suppression

Robust knowledge-aided sparse recovery STAP method for non-h...

引用

IET International Radar Conference 2018, IRC 2018

作者： Peng, Hao Sun, Yuze Yang, Xiaopeng Yang, Jian Beijing China Department of Electronic Engineering Tsinghua University Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronic Beijing Institute of Technology Beijing China

Conventional space-time adaptive processing (STAP) methods would suffer severely performance loss in the complex clutter environment of an airborne-phased array radar, especially when the estimated clutter covariance matrix (CCM) is corrupted by the interference targets (outliers). In order to improve the clutter suppression in a practical complex clutter, a robust knowledge-aided sparse recovery STAP method for non-homogeneity clutter suppression is proposed. In the proposed method, the spectral profiles of the clutter and outliers are firstly estimated by sparse recovery processing. Then based on the system prior parameters, the clutter mask is constructed to select the space-time steering vectors corresponding to the clutter components. Afterwards the clutter suppression is achieved based on the clutter subspace obtained from the selected space-time steering vectors. Since the clutter and outlier profiles are effectively estimated and distinguished by the knowledge-aided sparse recovery processing, robust clutter subspace estimation can be achieved for clutter suppression. Through the simulated and actual airborne-phased array radar data, it is verified that the proposed method can effectively improve the STAP performance in a non-homogeneous environment. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Space time adaptive processing

来源：评论

学校读者我要写书评

暂无评论

High-efficiency scene classification based on deep compressed-domain feature

High-efficiency scene classification based on deep compresse...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Cheng Zhao, Baojun Zhao, Boya Wang, Wenzheng Duan, Chenhui Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key laboratory of Embedded Real-time Information Processing Technology Beijing Institute of technology Beijing100081 China

Remote sensing image (RSI) scene classification has become a more and more fundamental issue in satellite and UAV time-sensitive applications. However, as the volume and velocity of RSIs are undergoing an explosive growth, traditional effective technologies claim a huge amount of computing resources, on a scale that already goes beyond in-orbit processing capacity. Here, we attempt to design a deep feature representation framework based on onboard compressed data to solve the aforementioned problem. Firstly, we extract header and body information in raw JPEG2000 codestream for representing geometrical and geospatial property of RSIs. Moreover, a novel compressed-domain convolutional neural network (CNN) is proposed to obtain high-level representation for effective classification. Extensive experiments demonstrate that, in comparison with the existing relevant state-of-the-art approaches, the proposed method achieves high classification accuracy with faster computation and lower consumption. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Orbits

来源：评论

学校读者我要写书评

暂无评论

Small vehicles detection based on UAV

Small vehicles detection based on UAV

引用

IET International Radar Conference 2018, IRC 2018

作者： Chen, Wu Baojun, Zhao Linbo, Tang Boya, Zhao Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

In recent years, with the development of deep neural networks, object detection has been widely used in many fields such as video surveillance, face recognition, and unmanned aerial vehicles (UAVs). However, small objects detection is still a challenge for the most of existing methods due to its low resolution and limited information. Here, the authors use an effective object detector single shot multi-box detector (SSD) as base architecture to detect small vehicles shot by UAV platform. First, in order to improve the performance for small objects, an extended-layer feature method is proposed for introducing more small-scale information. Second, the shapes of default boxes on specific feature maps are adjusted to balance the performance loss caused by adding feature maps. Experimental results show that this method reached the accuracy of 78.6% on PASCAL VOC object-detection dataset, which has a 1.8% bonus compared with the baseline. Moreover, in order to show the effectiveness on small vehicles, an additional experiment is conducted on the UAV123 dataset, which gets a 3.1% bonus. The speed of the proposed method has a 39 fps on a NVIDIA GTX Titan X. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Space Target Super-resolution Based on Low-complex Convolutional Networks

Space Target Super-resolution Based on Low-complex Convoluti...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Tingting Cui Linbo Tang Jinghong Nan Zhenzhen Li Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

The images super-resolution is a key technique for space target, which has important research significance and application value. However, the traditional super-resolution algorithms always fail to achieve a good reconstruction effect due to limited information and inaccurate manual design models. Moreover, deep learning algorithms mainly focus on improving reconstruction with the price of high complexity. To address the above issues, we propose an improved space target super-resolution based on low-complex convolutional neural networks. Specifically, we construct a three-layer convolutional neural network by changing network layers and convolution kernels, which reduces the number of parameters and improves the extraction characteristics and reconstruction. Meanwhile, we establish a complete training data set, which solves the problem that the space target images are difficult to obtain. The experimental results demonstrate that the algorithm proposed can achieve the space target super-resolution. Compared with other algorithms, our algorithm obtains better subjective visual effects and objective evaluation indicators.

关键词： super-resolution deep learning convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Parameter estimation of G0 distribution based on improved recursive expectation-maximisation method for clutter modelling

Parameter estimation of G0 distribution based on improved re...

引用

IET International Radar Conference 2018, IRC 2018

作者： Lu, Jiaxin Sun, Yuze Zhuo, Bangsheng Yang, Xiaopeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Department of Electronic Engineering Tsinghua University Beijing100084 China

Modelling and simulation of clutter are important in radar signal processing, the G0 distribution is generally adopted to simulate the ground clutter in radar echoes. In order to improve the modelling accuracy of clutter modelling, the actual data should be used for model parameter estimation. However, in some special situations, the actual data sample is very small. Existing methods cannot estimate the parameters of G0 distribution efficiently. To solve this problem, an improved recursive expectation-maximisation (EM) method is proposed to estimate the parameters of clutter in this article. This method combines the expectation step and maximisation step in one equation. Through recursive method and simplification of the positive definite matrix, this proposed method can obtain maximum likelihood estimation more efficiently than the conventional EM method and recursive EM method. Simulation results show that the performance of the proposed method is better than that of the conventional methods for a small data sample. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Maximum likelihood estimation

来源：评论

学校读者我要写书评

暂无评论

SAR Parameter Estimation Method for Rectangle Plane Based on information Geometry

SAR Parameter Estimation Method for Rectangle Plane Based on...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Yuhan Wen Xinliang Chen Yangkai Wei Yujie Fan Tao Zeng Zegang Ding Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

After establishing scattering models, the traditional synthetic aperture radar (SAR) parameter estimation methods usually utilize vanilla gradients to estimate target parameters from SAR echoes or images. However, the vanilla gradients will lead to lower iteration efficiency. Hence, in this paper, to take the rectangle plane as an example, we propose a SAR parameter estimation method based on the information geometry (SPEM-IG) to solve the above problem. The SPEM-IG adopts the natural gradient to estimate the parameters based on the information geometry optimization algorithm. The central objective of SPEM-IG is to project the least square function into probability distribution space and find the optimal solution in the new parameter space. In order to reduce the computational complexity caused by the multi-peak feature of least squares function, SPEM-IG utilizes the range of parameters rather than its exact value in calculating the value of least squares function, and takes the optimal solution in this range as the result of the current iteration process. By considering the geometric structure of manifolds, SPEM-IG calculates the optimal gradient direction called natural gradient to obtain faster convergence rate. The experimental results show that the SPEM-IG is effective for estimating target parameters. Besides, SPEM-IG has good performance even at low signal-to-noise ratios of SAR images.

关键词： parametric scattering model information geometry natural gradient

来源：评论

学校读者我要写书评

暂无评论

Spaceborne synthetic aperture radar imaging mapping methodology based on FPGA-DSP hybrid heterogeneous architecture

Spaceborne synthetic aperture radar imaging mapping methodol...

引用

IET International Radar Conference 2018, IRC 2018

作者： Yu, Wenyue Xie, Yizhuang Li, Bingyi Chen, He Liu, Xiaoning Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China DFH Satellite Co. Ltd. Beijing100081 China

With the development of synthetic aperture radar (SAR) technologies in recent years, the huge amount of remote sensing data bring challenges for high-speed transmission and real-time processing. The general platform with GPU, CPU or digital signal processor (DSP) cannot meet the requirement for short delay and low power. Therefore, a field-programmable gate array-digital signal processor (FPGA-DSP) SAR imaging accelerate platform has become a solution for processing performance with a lower latency and power. In this study, an effective mapping strategy is adopted to the FPGA-DSP hybrid heterogeneous architecture to accelerate the processing performance according to the analysis of Chirp Scaling SAR imaging algorithms. As a proof of concept, a FPGA-DSP hybrid heterogeneous accelerating platform is designed and realised. The platform requires 12 s to focus a stripmap SAR raw data with a granularity of 16,384 × 16,384. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Digital signal processors

来源：评论

学校读者我要写书评

暂无评论

Complex forward scattering coefficient for signal characterisation

Complex forward scattering coefficient for signal characteri...

引用

IET International Radar Conference 2018, IRC 2018

作者： Chen, Jing Liu, Xiangrong Liu, Changjiang Dong, Xichao School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics 100076 China

In this study, modelling and characteristics analysis of forward scattering coefficients and echoes are investigated. Traditional ground-target forward scattering signal model has not considered the impact of scattering phase;thus it is not accurate enough for describing air-target echoes. To solve this problem, a novel echo model was proposed based on the analytical deduction of complex forward scattering coefficient. The novel model separately expresses the target scattering characteristics and Doppler, greatly facilitating the theoretical analyses of echo characteristics. Then, theoretical and simulation investigations on the amplitude and phase characteristics of forward scattering echoes were made based on the complex forward scattering coefficient model. Theoretical explanations for the periodical fluctuation of far-field echo amplitude, periodical saltation of far-field echo phase, shadow blocking of near-field echo amplitude, and slow variation of near-field echo phase were given, respectively. Meanwhile, the boundary between near-field forward scattering and far-field forward scattering was quantitatively defined, which laid the theoretical foundation for the corresponding signal processing algorithms. Finally, with CST simulation results the accuracy of the echo model is verified and impacts of objects' real shapes are analysed. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Forward scattering

来源：评论

学校读者我要写书评

暂无评论

Research on Infrared And Vsisible Image Fusion System

Research on Infrared And Vsisible Image Fusion System

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Xinxin He Linbo Tang Chen Wu Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Infrared and visible image fusion is an important branch of image fusion technology. By combining the image information of two different bands, the human eye or machine can detect the target more comprehensively, quickly and accurately, and image fusion can improve the ability of human vision to understand the scene, which has great application value in military and civilian fields. Therefore, the research of infrared and visible image fusion systems has important theoretical and practical significance. In this paper, the author takes infrared and visible images as the research object, expounds the basic theory of image fusion, designs the fusion algorithm and the system based on FPGA + ARM, and also gives the complete solution of image fusion system. The experimental results show that the image fusion system is built successfully, the system image fusion effect is good, and the real-time processing is realized. After further experiment and design optimization, the system can be applied in engineering.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Verification System of Sliding Spotlight Mode SAR Imaging based on SoPC

The Verification System of Sliding Spotlight Mode SAR Imagin...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Hu, Shankang Xie, Yizhuang Lian, Jie Li, Bingyi Beijing Institute of Remote Sensing Equipmentt BeiJing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Institute of Radio Metrology and Measurement Beijing China

ISBN: (纸本)9781728123455

Aiming at the application background of sliding spotlight mode Synthetic Aperture Radar (SAR) imaging processing, this paper builds a System-on-a-Programmable-Chip-based (SoPC-based) sliding spotlight mode SAR imaging verification system, which uses software and hardware collaborative design method to complete algorithm-to-hardware mapping and can quickly and truly perform in FPGA or ASIC. Finally, we analyzed the implementation of the imaging prototype system and the imaging results. For the generation of correlation factors, this paper hierarchically decomposes the factor generation operation to realize the time division multiplexing of the operation unit, in order to reduce resource consumption. At the same time, a variable point Fast Fourier Transformation (FFT) processor based on a variable radix-23 multiplexing butterfly unit is designed and implemented. Combining these two parts with other modules enables the entire sliding spotlight mode imaging process. On the basis of keeping the error of the result small, the overall resource consumption is greatly reduced. The 102432768 point FFT is implemented by the top-level configurable method, and the operation delay is reduced by more than 20% compared with the Xilinx FFT IP core. The final imaging time is reduced to seconds, and the imaging results meet the requirements. Subsequent compatibility design for other SAR imaging modes also can be achieved. © 2019 IEEE.

关键词： Synthetic aperture radar

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共53页 << < 21 22 23 24 25 26 27 28 29 30 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：