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

196 篇 会议
9 篇 期刊文献

馆藏范围

205 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

153 篇 工学
- 129 篇 信息与通信工程
- 64 篇 计算机科学与技术...
- 45 篇 软件工程
- 38 篇 电子科学与技术（可...
- 20 篇 光学工程
- 20 篇 航空宇航科学与技...
- 17 篇 仪器科学与技术
- 14 篇 控制科学与工程
- 12 篇 机械工程
- 9 篇 建筑学
- 9 篇 土木工程
- 8 篇 生物工程
- 7 篇 电气工程
- 5 篇 安全科学与工程
- 4 篇 化学工程与技术
- 2 篇 力学（可授工学、理...
- 2 篇 材料科学与工程（可...
- 2 篇 矿业工程
- 2 篇 网络空间安全
67 篇 理学
- 44 篇 数学
- 14 篇 生物学
- 11 篇 统计学（可授理学、...
- 10 篇 物理学
- 5 篇 化学
- 5 篇 大气科学
- 4 篇 地质学
- 2 篇 系统科学
20 篇 管理学
- 12 篇 管理科学与工程(可...
- 8 篇 图书情报与档案管...
5 篇 军事学
3 篇 农学
- 3 篇 作物学
1 篇 经济学

主题

39 篇 synthetic apertu...
16 篇 radar
13 篇 radar imaging
12 篇 target recogniti...
10 篇 feature extracti...
9 篇 target tracking
8 篇 data processing
8 篇 radar tracking
7 篇 radar polarimetr...
7 篇 accuracy
7 篇 training
6 篇 radar target rec...
6 篇 field programmab...
5 篇 object detection
5 篇 sensitivity
5 篇 data models
5 篇 convolutional ne...
4 篇 signal resolutio...
4 篇 signal to noise ...
4 篇 radar signal pro...

机构

72 篇 radar research l...
71 篇 beijing key labo...
45 篇 beijing key labo...
35 篇 advanced technol...
33 篇 beijing institut...
23 篇 chongqing innova...
21 篇 radar technology...
19 篇 radar research l...
17 篇 beijing key labo...
13 篇 beijing key labo...
12 篇 beijing key labo...
11 篇 zhengzhou academ...
9 篇 beijing institut...
9 篇 the advanced tec...
7 篇 school of inform...
7 篇 xi'an modern con...
7 篇 beijing institut...
6 篇 beijing key labo...
5 篇 shanghai institu...
5 篇 radar technology...

作者

26 篇 wang yanhua
24 篇 ding zegang
20 篇 wang rui
19 篇 li yang
19 篇 hu cheng
18 篇 zhang liang
15 篇 xie yizhuang
14 篇 yanhua wang
12 篇 chen liang
12 篇 liang zhang
11 篇 jiang qi
9 篇 tian weiming
9 篇 zhang tianyi
9 篇 zegang ding
9 篇 shi hao
8 篇 li bingyi
8 篇 chen he
7 篇 cheng hu
7 篇 li yongrui
7 篇 yang li

语言

196 篇 英文
7 篇 其他
2 篇 中文

检索条件"机构=Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab"

共 205 条记录，以下是21-30 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：

Small targets recognition in SAR ship image based on improved SSD

Small targets recognition in SAR ship image based on improve...

引用

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

作者： Li, Yong Chen, Jing Ke, Meng Li, Linghao DIng, Zegang Wang, Yan Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

Synthetic Aperture radar(SAR) ship recognition is significant in marine applications and plays an important role in maritime traffic management, fisheries management, and maritime rescue, etc. A major difficulty in SAR ship recognition is that the SAR ships have a small size in images, which results in low recognition accuracy of the SSD. This paper first analyzes the reasons for the low recognition accuracy for small targets in SSD. First, the poor matching of the default boxes leads to a small number of positive samples. Second, the representation ability of low-level feature map for recognizing small targets is weak. Then two strategies are proposed to improve the SSD. Firstly, a default box optimization design method based on Kmeans clustering is proposed, which improves the matching performance of the default boxes. Secondly, a feature fusion method based on deconvolution is proposed, which effectively improves the representation ability of low-level feature maps. The experimental results show that the proposed method can greatly improve the recognition accuracy of SSD for small targets in SAR ship images. © 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

research on Infrared and Vsisible Image Fusion System

Research on Infrared and Vsisible Image Fusion System

引用

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

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

ISBN: (纸本)9781728123455

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. © 2019 IEEE.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

research on parallel architecture design of radar real-time signal processing based on CPU-GPU heterogeneous platform 5

Research on parallel architecture design of radar real-time ...

引用

IET International radar Conference 2020, IET IRC 2020

作者： Dong, Henan Zheng, Cheng Tian, Weiming Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781839535635

in view of the central processing unit (CPU) platform processing performance limits on computationally intensive tasks, as well as the FPGA + DSP[1-3] platform of software and hardware of high coupling and difficult defects, using the graphics processor (GPU) powerful parallel computing power, the CPU and GPU pipeline technology, heterogeneous systems with multithreading, GPU more and more flow, such as strategy, puts forward the real-time signal processing system of the multiple perspectives analysis methods, make full use of the independence between modules and signal processing algorithm concurrency features within the *** experimental results show that, compared with the traditional MATlab platform, the maximum acceleration ratio based on CPU-GPU heterogeneous platform can reach more than 20000, and the parallel architecture designed can fully meet the real-time requirements of radar signal processing. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

realization of Remote Sensing Image Classification Algorithm Based on SOPC

Realization of Remote Sensing Image Classification Algorithm...

引用

IET International radar Conference 2023, IRC 2023

作者： Qi, Guijie Qiao, Tingting Xie, Yizhuang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781839539954

Recently, Convolutional Neural Networks (CNNs) have made significant progress in the field of remote sensing image scene classification. However, commonly used CNN models are mainly deployed on GPU, which is bulky and power-hungry, making them unsuitable for customized requirements of on-board embedded applications. To meet the needs of on-board embedded applications, this study selects System On a Programmable Chip (SoPC), known for their low power consumption and compact size, as the processing platform for accelerating CNNs. Employing the knowledge distillation method, this paper uses the classical CNN scene classification algorithms to create lightweight models. These optimized models are then deployed on resource-constrained ZCU104 SoPC hardware platform. Experimental results demonstrate that the optimized lightweight models achieve image classification tasks with over 95% accuracy on SoPC hardware platform. Furthermore, due to minimal impact from quantization errors, the accuracy drop is less than 1%. Compared to GPU (GTX1650), the throughput on SoPC is increased by 96.43%. © The Institution of Engineering & technology 2023.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Design of SAR Imaging System Based on MPSoC + FPGA with Optimization Strategies for Chirp Scaling Factor Computation

Design of SAR Imaging System Based on MPSoC + FPGA with Opti...

引用

IET International radar Conference 2023, IRC 2023

作者： Zhong, ZhiHui Qiao, TingTing Xie, YiZhuang Lv, HuShan Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781839539954

Space-based remote sensing involves complex SAR imaging hardware design. This complexity arises from varied imaging modes and a convoluted imaging process. With the rapid advancement of embedded systems and Field Programmable Gate Arrays (FPGA), underscores their flexibility, efficiency, and reconfigurability for SAR imaging hardware implementation. This paper introduces a comprehensive SAR imaging system based on Multi-Processor System on Chip (MPSoC) and FPGA architectures. The system supports a multi-modal SAR imaging processing platform with large granularity, encompassing orbital parameter pro-cessing, Chirp Scaling (CS) factor computation, data transposition, complex multiplication, and FFT operations. An effi-cient data link between the host computer, MPSoC, and FPGA is also established. To address the challenges of multiple parameters, intricate computational flow, and various computational types in Chirp Scaling factor generation, the system utilizes Cortex A53 and Cortex R5 processors for computation and optimization. The results indicate an average accelera-tion ratio of 25.296, a relative error of 1.12×10-4, and an absolute error of 5.88×10-6, demonstrating that the "MPSoC+FPGA"-based imaging system meets the demands of imaging processing. © The Institution of Engineering & technology 2023.

关键词： radar imaging

来源：评论

学校读者我要写书评

暂无评论

The Reconfigurable Pipelined Variable-point FFT Processor Design

The Reconfigurable Pipelined Variable-point FFT Processor De...

引用

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

作者： Wang, Jiale Xie, Yizhuang Li, Bingyi Yang, Chen Hu, Shankang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781728123455

In the multi-mode SAR imaging processing targeted in this paper, the FFT requirement granularity ranges from 1024 to 32768. Therefore, this paper mainly describes the method of implementing reconfigurable and variable-level FFT units using radix-2k, By analyzing and comparing the radix 2k algorithm, the radix-23 is selected as the basis of the single-channel FFT butterfly, and the range of the point representation is extended by the butterfly transformation downward compatible with the radix-22/radix-2. This paper realizes an architecture of the single channel delay feedback variable-point, high precision FFT processor. © 2019 IEEE.

关键词： Fast Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

Three-level Memory Access Architecture for FPGA-based real-time Remote Sensing Image processing System

Three-level Memory Access Architecture for FPGA-based Real-t...

引用

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

作者： Zhang, Ning Wei, Xin Chen, Lei Chen, He Radar Research Lab School of Information and Electronics Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781728123455

Recently, extensive convolutional neural network (CNN)-based methods have been used for real-time remote sensing image processing system. However, the huge storage requirement for model and input image bring a great challenge to hardware implement. In this paper, we propose a three-level memory access architecture for FPGA-based real-time remote sensing image processing system to meet the storage requirement. Moreover, in the proposed architecture, the computational throughput is well matched to the storage bandwidth, which improve the efficiency of arithmetic processing on the hardware platform. In the experiment, we applied the architecture to the hardware implementation of CNN, and implement on Xilinx ZYNQ xc7z035 platform. Our design is evaluated on a main part of the modified YOLOv2 framework [1]. The experimental results demonstrate that this design can access the off-chip memory efficiently, and can provide the required parameters and input data for the CNN on-chip pipeline processing. © 2019 IEEE.

关键词： Field programmable gate arrays (FPGA)

来源：评论

学校读者我要写书评

暂无评论

SOPC-based Implementation of Convolutional Neural Network

SOPC-based Implementation of Convolutional Neural Network

引用

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

作者： Feng, Xing Jia, Mingfei Chen, He Radar Research Lab School of Information and Electronics Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781728123455

Convolutional Neural Network (CNN) is an algorithm widely used in the field of deep learning. Due to the large number of intensive parallel data operations, the use of CPU to implement the CNN serially consumes too much time. In view of the above research background, the System-on-a-Programmable-Chip (SOPC) implementation and acceleration modules of CNN are designed by using the Zynq-7035 development platform launched by Xilinx as the experimental platform. The experiment results show that our method is effective and efficiency for the target image classification on the development platform. © 2019 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

An efficient FFT-mapping method based on cache optimization

An efficient FFT-mapping method based on cache optimization

引用

IET International radar Conference 2015

作者： Zhu, Liang Liu, Tengfei Gao, Lining Wang, Jingyang Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781849199940

Fast Fourier Transform (FFT) is an important technology in real-time signal processing system, which means the efficiency of FFT algorithm mapping to hardware system has very important significance. At first, we aim at the FFT execution process on processor. And then analyze the memory access process based on cache mechanism, and get that the cache hit directly affects FFT execution time. Hence, an efficient mapping method is come up with, which splits long FFT into multiple segments to make sure every segment is shorter than the cache capacity. Accordingly, the cache hit rate will be improved, correspondingly, the execution efficiency will be better finally. In the end, the new method is experimented on the A DI's TS201 digital s ignal proces s or, and the res u lt s hows that the execution time of FFT is improved greatly.

关键词： Fast Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

Distorted SAR target recognition with virtual SVM and AP-HOG feature 5

Distorted SAR target recognition with virtual SVM and AP-HOG...

引用

IET International radar Conference 2020, IET IRC 2020

作者： Yao, Di Liu, Zhenyuan Li, Feng Li, Yang Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781839535635

Synthetic aperture radar (SAR) plays an indispensable role in national defence and civil fields due to its unique advantages. Although many methods have been proposed, the recognition to SAR images still faces many difficulties, especially to distorted images. This paper first improves the morphological methods attribute profiles (APs) which is widely employed with optical, and hyperspectral images in particular. We combine the APs method with histogram of oriented gradients (HOG) feature (called AP-HOG) to make it suitable for SAR images. Then, the SVM model is used to identify the labelled samples (i.e., Support Vectors) that are closest to the separating hyperplane with maximum margin. We generate different degrees of distorted images based on support vectors, and use the distorted image and the support vector as a new training set for retraining to improve the recognition effect of the distorted image. Finally, we perform experimental verification based on the MSTAR dataset, which proves the effectiveness of the proposed method. © 2020 Institution of Engineering and technology. All rights reserved.

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21页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：