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

848 篇 会议
123 篇 期刊文献

馆藏范围

971 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

623 篇 工学
- 332 篇 信息与通信工程
- 332 篇 计算机科学与技术...
- 255 篇 软件工程
- 113 篇 电子科学与技术（可...
- 89 篇 控制科学与工程
- 59 篇 生物工程
- 58 篇 光学工程
- 55 篇 机械工程
- 54 篇 航空宇航科学与技...
- 52 篇 仪器科学与技术
- 50 篇 电气工程
- 46 篇 化学工程与技术
- 31 篇 生物医学工程（可授...
- 24 篇 建筑学
- 24 篇 土木工程
- 20 篇 动力工程及工程热...
- 18 篇 安全科学与工程
- 16 篇 交通运输工程
- 14 篇 环境科学与工程（可...
325 篇 理学
- 195 篇 数学
- 65 篇 生物学
- 59 篇 物理学
- 51 篇 统计学（可授理学、...
- 47 篇 化学
- 21 篇 系统科学
- 16 篇 大气科学
118 篇 管理学
- 64 篇 管理科学与工程(可...
- 57 篇 图书情报与档案管...
- 20 篇 工商管理
19 篇 医学
- 15 篇 基础医学(可授医学...
18 篇 农学
11 篇 法学
11 篇 军事学
9 篇 教育学
7 篇 经济学
2 篇 艺术学
1 篇 文学

主题

91 篇 synthetic apertu...
52 篇 feature extracti...
30 篇 training
25 篇 accuracy
23 篇 object detection
22 篇 radar
22 篇 radar imaging
20 篇 image segmentati...
20 篇 convolution
17 篇 semantics
17 篇 field programmab...
15 篇 radar polarimetr...
15 篇 computational mo...
15 篇 target recogniti...
15 篇 convolutional ne...
13 篇 target tracking
13 篇 real-time system...
13 篇 remote sensing
12 篇 deep learning
11 篇 support vector m...

机构

215 篇 beijing key labo...
197 篇 hubei province k...
147 篇 beijing key labo...
133 篇 school of comput...
114 篇 college of compu...
72 篇 radar research l...
66 篇 hubei province k...
64 篇 school of inform...
50 篇 beijing institut...
36 篇 advanced technol...
33 篇 beijing key labo...
26 篇 chongqing innova...
21 篇 radar technology...
19 篇 wuhan university...
19 篇 radar research l...
17 篇 hubei key labora...
17 篇 beijing key labo...
17 篇 school of electr...
16 篇 school of comput...
15 篇 hubei province k...

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
22 篇 xiaolong zhang
22 篇 linbo tang
21 篇 zhang xiaolong
21 篇 tang linbo
20 篇 wang rui
19 篇 teng long
19 篇 li chen

语言

942 篇 英文
21 篇 其他
8 篇 中文

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

共 971 条记录，以下是51-60 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：

Adaptive frequency domain imaging algorithm in geosynchronous SAR

Adaptive frequency domain imaging algorithm in geosynchronou...

引用

IET International Radar Conference 2015

作者： Tian, Ye Hu, Cheng He, Qian Dong, Xichao Long, Teng Zeng, Tao Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781849199940

The biggest challenge for GEO SAR imaging is to compensate the doppler parameter space-variance properly. The problem of velocity space-variance becomes severe in GEO SAR due to the effect of earth rotation and large imaging area. In addition, the direction of velocity spacevariance is very difficult to determine in Equator due to th e very comple x g eo metry re lations h ip among s atellite motion, earth rotation and imaging scene, thus making it difficult to be compensated. These problems can't be solved with present GEO SAR imaging algorithm. This literature proposes an improved secondary range compression (SRC) algorithm. The GEO SAR signal model is obtained firstly. The effects of velocity space-variance on each term of GEO SAR signal two-dimension spectrum are analyzed. Then, the velocity space-variance is described based on a velocity model, the effect of velocity space-variance is compensated by means of adaptive phase compensation processing. Finally, the correctness of this method is proved through tagret points simulation.

关键词： Velocity

来源：评论

学校读者我要写书评

暂无评论

Binary Separable Convolutional: An Efficient Fast Image Classification Method

Binary Separable Convolutional: An Efficient Fast Image Clas...

引用

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

作者： Jing, Donglin Tang, Linbo Pan, Yu Tang, Wei Zhou, Shichao Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

The training and running of neural network require large computational space and memory space, which makes it difficult to deploy on a resource-constrained embedded sys-tems. To address this limitation, we introduce a two-stage pipeline: Depth separable, local binary. Our method is divided into two steps. Firstly, a deep separable convolution is applied to each input channel. Then, point-by-point convolution is applied to the feature map obtained by the filter. In the second step, we use local binarization method to initialize the filter corresponding to the input channel into sparse binary. In network training, the sparse binary filter remains fixed and only needs to train convolution of 11 size. Our experimental results show that, on the basis of approximate accuracy with the original network, we have reduced the number of convolution parameters by 9x to 10x, and reduced the training time and testing time to by 2x. Our compression method helps to deploy complex neural networks on resource-constrained embedded platform. © 2019 IEEE.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

A novel subsidence monitoring approach based on multi-GNSS illuminator bistatic interferometry

A novel subsidence monitoring approach based on multi-GNSS i...

引用

IET International Radar Conference 2015

作者： Zeng, T. Tian, W.M. Zhang, T. Hu, C. Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781785610387

This paper proposes a novel subsidence monitoring method. The method utilizes multi Global Navigation Satellite System (GNSS) as illuminators, a receiver employed in reference station and a transponder set in the region of interest as a measurement station to construct the real time subsidence monitoring system. Exploiting the commonness of the errors in both the reference station and the measurement one, extending the principle of traditional differential GNSS (DGNSS) to a radar-transponder counterpart, a low cost and high accuracy system with 3 dimensional deformations estimation ability can be realized. Simulation is conducted to analyze the performance and validate the proposed method. The result shows that the proposed method is able to achieve sub-centimeter accuracy in short coherence time, promising its potential application in some security fields such as the high-speed railway roadbed subsidence monitoring.

关键词： Deformation

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral inversion for soil moisture and temperature based on Gaussian process regression

Hyperspectral inversion for soil moisture and temperature ba...

引用

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

作者： Li, Zhen Deng, Chenwei Zhao, Baojun Tian, Yibing Huang, Yun Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

The soil moisture and temperature significantly influence the natural environment. Hyperspectral remote sensing can serve as a pivotal technique to monitor soil surface. However, modeling soil parameters encounter the following problems: hyperspectral data is high-dimensional and non-linear, and hyperspectral datasets are of limited size. In this paper, we derive a framework for inversion of soil moisture and temperature. First, wavelet transform is adopted that is able to extract the main structure of spectrum curve and reduce the dimensionality of the hyperspectral data. Then, Gaussian process regression (GPR), which is suitable for small sample data, is applied to predict the soil moisture and temperature. The experimental results show that our model outperforms other methods in estimating soil character. © 2019 IEEE.

关键词： Soil temperature

来源：评论

学校读者我要写书评

暂无评论

Accurate non-contact vibration amplitude retrieval using least squares estimation

Accurate non-contact vibration amplitude retrieval using lea...

引用

IET International Radar Conference 2015

作者： Hu, C. Li, A. Wang, R. Zeng, T. Liu, W. Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781785610387

An accurate non-contact amplitude retrieval of the periodic movement is proposed in this paper. Firstly, the backscattered signal of a vibrational target can be expanded as a series of harmonics whose amplitudes are determined by the vibration amplitude. Then, based on the least squares estimation, all the available harmonics are utilized to suppress the influence of the signal noise on the vibration measurement, so as to improve the accuracy of vibration amplitude retrieval. Finally, the Monte Carlo simulation is performed to validate the effectiveness in the case of low signal-to-noise ratio (-9dB). Accuracy of the new method in different cases of signal-to-noise ratio is also obtained. In addition, the real experimental data acquired by a 100GHz millimeter radar is used to test the performance of the proposed method, associated with a calibrator of vibration. In the experiment, a calibrator of vibration is 30m away from the radar. The results show the proposed method has better accuracy than the ones in the case of only one harmonic pair is used.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

A Fast MART Method with Voxel Filtering for GEO SAR-Based Computerized Ionospheric Tomography 2

A Fast MART Method with Voxel Filtering for GEO SAR-Based Co...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Sui, Yi Dong, Xichao Chen, Zhiyang Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China

ISBN: (纸本)9798331515669

Ionospheric monitoring is crucial for space environment assessment and the success of space mission. Traditional computerized ionospheric tomography (CIT) based on Global Navigation Satellite System (GNSS) are constrained ground receivers, while CIT based on geosynchronous synthetic aperture radar (GEO SAR) offers an ionospheric tomography solution that does not rely on ground receivers. This approach leverages the abundant Permanent Scatterer (PS) points in the SAR image for electron density reconstruction, providing strong adaptability to various environments. However, due to the large number of PS points in the large coverage area of GEO SAR and the abundance of total electron density (TEC) data, the conventional multiplicative algebraic reconstruction technique (MART) is inefficient in processing iteration. To this end, this paper proposes a fast MART method based on Voxel Filtering, and verifies the effectiveness of the proposed method through a tomographic experiment. The results show that the proposed method ensures reliable tomographic results, effectively improves the iteration speed, and significantly improves the computational efficiency, which provides strong support for GEO SAR-based CIT with huge TEC data. © 2024 IEEE.

关键词： Ionospheric measurement

来源：评论

学校读者我要写书评

暂无评论

Moving target detection based on Circular Video SAR

Moving target detection based on Circular Video SAR

引用

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

作者： Wang, Hongshuo Zhao, Baojun Yang, Xingsha Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

Video Synthetic Aperture Radar (Video-SAR) achieves radar video observation by continuously monitoring a certain area to form continuous image data of the target, and it plays an important role in civil and military fields. The SAR image of the moving target is defocused and deviates from its true position, but in its real position, a shadow area similar to the target size is generated. In this paper, the shadow area is used to detect the moving target. Firstly, the image sequence is de-noised by wavelet analysis. Then the maximum threshold segmentation of Tsallis gray entropy is performed. The SIFT and FAST algorithms are used to detect and match the corners of each frame. At the same time, the RANSAC algorithm is used to optimize the pairing results to complete the image registration. Finally, the moving target is extracted by the three-frame difference method, and the result is marked to the corresponding position of the original image. Based on the Video SAR segment published by Sandia Labs in the United States, the detection of the largest moving vehicle in the video is realized, and the effectiveness and anti-interference of the proposed algorithm is verified. © 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

Ship Detection in Synthetic Aperture Radar Imagery Based on Discriminative Dictionary Learning 6

Ship Detection in Synthetic Aperture Radar Imagery Based on ...

引用

6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

作者： Wang, Yun Chen, Liang Shi, Hao Zhang, Bocheng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728129129

The ship target detection technology based on SAR image has important significance in military and civil field applications and is one of the research hotspots at this stage. In this paper, the research work on typical problems in SAR image ship target detection is carried out. A ship target detection algorithm based on discriminative dictionary learning is proposed, which mainly includes image denoising, candidate region extraction and candidate region identification. Firstly, an adaptive non-local filtering method is used to denoise the SAR image. Then the gradient feature map reconstruction algorithm is used to extract the candidate regions. Finally, the category constrained discriminative dictionary learning method is used to classify the candidate regions. The algorithm is based on GF-3 and Terra SAR data. The experimental results show that the proposed algorithm has strong robustness and adaptability. © 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

Weighted Anomaly Detection Algorithm Based on Local Density

Weighted Anomaly Detection Algorithm Based on Local Density

引用

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

作者： Tian, Yibing Tang, Linbo Li, Zhen Huang, Yun Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

Anomaly detection for hyperspectral imagery (HSI) has drawn a lot of attention lately. In the past decades, several methods for detecting anomalies in HSI have been developed. The Reed-Xiaoli detector (RXD) is one of the most widely used methods for anomaly detection. However, RXD assumes that background follow the Gaussian distribution, not always conformed to the real case. In order to solve this problem, we improve the RX anomaly detection algorithm by weighting changes of background. First, the concentric double-window model is utilized to obtain the local densities of each background pixels. Then, the local densities are applied to weight background mean and covariance matrix to reduce the influence of abnormal pixels in the background. The experimental results show that our method outperforms other approaches in anomaly detection. © 2019 IEEE.

关键词： Covariance matrix

来源：评论

学校读者我要写书评

暂无评论

Ground-based SAR imaging algorithm based on keystone formatting

Ground-based SAR imaging algorithm based on keystone formatt...

引用

IET International Radar Conference 2015

作者： Mao, Cong He, Qian Tian, Weiming Hu, Cheng Zeng, Tao Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781849199940

In this paper, a novel imaging algorithm tailored for GB-SAR data is proposed. The characteristics of GB-SAR data are firstly analyzed, and then a signal model (after range compression) is analytically built up. According to this model, our imaging algorithm, based on keystone formatting and range-Doppler domain subblock division, is then put forward, its azimuth focusing is essentially achieved through a space-variant dechirp operation. This algorithm can be widely applied to near-field and far-field as well as wide view angle GB-SAR data sets. Moreover, the computational cost of this algorithm is quite low. The image is formatted in a polar-like coordinate which is well fit for GB-SAR data. The algorithm is extensively validated both with numerical simulations and real GB-SAR data.

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98页 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：