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

336 篇 会议
194 篇 期刊文献

馆藏范围

530 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

348 篇 工学
- 171 篇 信息与通信工程
- 152 篇 计算机科学与技术...
- 130 篇 软件工程
- 61 篇 控制科学与工程
- 56 篇 仪器科学与技术
- 42 篇 光学工程
- 38 篇 电子科学与技术（可...
- 36 篇 生物工程
- 33 篇 环境科学与工程（可...
- 31 篇 测绘科学与技术
- 26 篇 航空宇航科学与技...
- 25 篇 电气工程
- 21 篇 机械工程
- 15 篇 土木工程
- 14 篇 建筑学
- 12 篇 网络空间安全
- 11 篇 材料科学与工程（可...
- 8 篇 动力工程及工程热...
- 8 篇 化学工程与技术
175 篇 理学
- 93 篇 数学
- 45 篇 物理学
- 38 篇 生物学
- 28 篇 统计学（可授理学、...
- 21 篇 化学
- 8 篇 大气科学
- 8 篇 地球物理学
- 7 篇 系统科学
38 篇 管理学
- 19 篇 图书情报与档案管...
- 18 篇 管理科学与工程(可...
26 篇 农学
- 26 篇 农业资源与环境
4 篇 医学
2 篇 经济学
2 篇 艺术学
1 篇 法学
1 篇 军事学

主题

64 篇 synthetic apertu...
26 篇 feature extracti...
24 篇 radar polarimetr...
24 篇 training
23 篇 remote sensing
22 篇 image coding
18 篇 radar imaging
16 篇 image reconstruc...
15 篇 three-dimensiona...
15 篇 visualization
15 篇 semantics
15 篇 satellites
15 篇 encoding
14 篇 image segmentati...
13 篇 object detection
13 篇 mathematical mod...
12 篇 deep neural netw...
12 篇 decoding
12 篇 image resolution
11 篇 imaging

机构

139 篇 cas key laborato...
61 篇 aerospace inform...
58 篇 school of electr...
55 篇 key laboratory o...
45 篇 institute of ele...
42 篇 university of ch...
34 篇 key laboratory o...
23 篇 key laboratory o...
20 篇 department of au...
14 篇 suzhou aerospace...
13 篇 the cas key labo...
13 篇 key laboratory o...
13 篇 key laboratory o...
10 篇 microsoft resear...
10 篇 key laboratory o...
10 篇 graduate univers...
8 篇 cas key laborato...
8 篇 national key lab...
7 篇 key laboratory o...
7 篇 the cas key labo...

作者

44 篇 chen zhibo
43 篇 qiu xiaolan
33 篇 xiaolan qiu
32 篇 li houqiang
30 篇 ding chibiao
26 篇 dong liu
25 篇 liu dong
23 篇 zhibo chen
23 篇 houqiang li
22 篇 li li
22 篇 chibiao ding
18 篇 zhang zhe
18 篇 wu yirong
18 篇 zhou wei
17 篇 zhou wengang
17 篇 zhang bingchen
17 篇 feng wu
15 篇 li xin
15 篇 bin lei
14 篇 yu kang

语言

514 篇 英文
8 篇 中文
7 篇 其他

检索条件"机构=Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems"

共 530 条记录，以下是361-370 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：

Statistical analysis of typical target regions of multi-Aspect SAR based on parametric model 14

Statistical analysis of typical target regions of multi-Aspe...

引用

14th European Conference on Synthetic Aperture Radar, EUSAR 2022

作者： Yue, Xiaoyang Teng, Fei Zhang, Zhiguo Lin, Yun Hong, Wen Key Laboratory of Spatial Information Processing and Application System Technology Chinese Academy of Sciences Beijing China Aerospace Information Research Institute Chinese Academy of Sciences Beijing China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China School of Electronic Information Engineering North China University of Technology Beijing China

ISBN: (纸本)9783800758234

Multi-Aspect SAR can obtain rich backscatter information about the illuminated scene. For different kinds of targets in the scene, scattering information related to the geometric characteristics of the target is shown in the imaging scene at the same angle. For a certain reference target in the scene, it exhibits azimuth-based backscatter characteristics in the imaging scene under observation from different angles. In our article, a parametric statistical model is used to express characteristics of typical targets at different angles and characteristic differences between different targets. Two parameters-And-Are used to represent characteristic difference of typical targets. © 2022 Institute of Electrical and Electronics Engineers Inc.. 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

An autofocus network for multi-channel phase errors with application to tomoSAR imaging

An autofocus network for multi-channel phase errors with app...

引用

IET International Radar Conference (IRC 2023)

作者： Muhan Wang Silin Gao Zhe Zhang Xiaolan Qiu Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing 100190 People's Republic of China Key Laboratory of Intelligent Aerospace Big Data Application Technology Suzhou 215123 People's Republic of China

ISBN: (数字)9781837240982

Synthetic aperture radar (SAR) tomography (TomoSAR) has garnered significant attention due to its capability for three-dimensional reconstruction. Compressed sensing (CS) methods are widely employed to address the TomoSAR inversion challenge. Nevertheless, practical applications reveal phase errors among different channels, resulting in defocusing and blurring when relying solely on CS for 3D reconstruction. Current state-of-the-art autofocus techniques suffer from prohibitive computational complexity, limiting their applicability to large-scale 3D imaging. In pursuit of efficient TomoSAR 3-D autofocusing, we proposed ASAMP-Net, an innovative deep unfolding network. Operating within a two-step framework, each layer comprises two stages: phase error estimation and iterative scattering coefficient reconstruction using the sparse adaptive matching pursuit (SAMP) algorithm. Additionally, phase error estimation is obtained through mathematical derivation, while challenges associated with fixed sparsity and limited efficiency in conventional methods are mitigated through deep learning techniques. Simulation experiments and real data validation affirm the effectiveness and superiority of the proposed method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Radar imaging simulation for typical urban structures based on analytical models

Radar imaging simulation for typical urban structures based ...

引用

6th International Conference on Radar, RADAR 2011

作者： Chen, Hongzhen Zhang, Yueting Tang, Kan Xiong, Wenchang Ding, Chibiao Key Laboratory of Spatial Information Processing and Application System Technology Chinese Academy of Sciences NO. 9 Beiyitiao Zhongguancun Beijing 100190 China National Key Laboratory of Microwave Imaging Technology NO.19 Beisihuan Xilu Beijing 100190 China Institute of Electronics Chinese Academy of Sciences NO.19 Beisihuan Xilu Beijing 100190 China

ISBN: (纸本)9781424484416

This paper proposes a novel radar imaging simulator based on analytical electromagnetic and geometric models for a common typical kind of urban structure. The analytical models are presented not only for improving the efficiency of the simulation but also for direct and further understanding the features in the SAR image. © 2011 IEEE.

关键词： Radar imaging

来源：评论

学校读者我要写书评

暂无评论

Radar image simulation of complex targets

Radar image simulation of complex targets

引用

6th International Conference on Radar, RADAR 2011

作者： Tang, Kan Zhang, Yueting Chen, Hongzhen Xiong, Wenchang Wang, Hongqi Key Laboratory of Spatial Information Processing and Application System Technology Chinese Academy of Sciences NO. 9 Beiyitiao Zhongguancun Beijing 100190 China National Key Laboratory of Microwave Imaging Technology NO. 19 Beisihuan Xilu Beijing 100190 China Institute of Electronics Chinese Academy of Sciences NO. 19 Beisihuan Xilu Beijing 100190 China

ISBN: (纸本)9781424484416

In this paper, we propose a novel radar imaging simulator with precise simulation of geometry and relative simulation of radiometry, to assist target recognition. The simulator is based on an new visualization procedure and a Lambertian-specular mixture model. Simulated results are compared with MiniSAR image of airplane C-130 evaluating the efficiency. © 2011 IEEE.

关键词： Radar imaging

来源：评论

学校读者我要写书评

暂无评论

Fast algorithm of arbitrary factor subpixel downsampling based on frequency analysis

Fast algorithm of arbitrary factor subpixel downsampling bas...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Ketan Tang Oscar C. Au Lu Fang Jiahao Pang Yuanfang Guo Jiali Li The Hong Kong University of Science and Technology CAS Key Laboratory of Technology in Geo-spatial Information Processingand Application System University of Science and Technology of China

Subpixel-based downsampling has shown its advantages over pixel-based downsampling in terms of preserving more spatial details along edges and generating sharper images, at the cost of certain amount of color-fringing artifacts in the downsampled image. To balance the sharpness and color-fringing artifacts, some algorithms are proposed to design optimal anti-aliasing (AA) filters, which are either image independent, or computationally too expensive. And all of the existing AA filters are designed for fixed downsampling factor, which makes them impractical for real applications. In this paper we propose two fast algorithms to design AA filter for arbitrary factor subpixel downsampling based on frequency analysis of the input image. The proposed algorithms generate image dependent AA filter which is as good as the state-of-the-art algorithm, but much faster.

关键词： Algorithm design and analysis Cutoff frequency Shape Frequency-domain analysis Interpolation Signal processing algorithms Time measurement

来源：评论

学校读者我要写书评

暂无评论

OBJECT DETECTION WITH HEAD DIRECTION IN REMOTE SENSING IMAGES BASED ON ROTATIONAL REGION CNN

OBJECT DETECTION WITH HEAD DIRECTION IN REMOTE SENSING IMAGE...

引用

IEEE International geoscience and Remote Sensing Symposium

作者： Xue Yang Kun Fu Hao Sun Xian Sun Menglong Yan Wenhui Diao Zhi Guo Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China

Object detection has been playing a significant role in the field of remote sensing for a long time but it is still full of challenges. In this paper, we propose a novel detection framework based on rotational region convolution neural network to cope with the problem of non-maximum suppression in dense objects detection. The bounding boxes obtained by adopting our method is the minimum bounding rectangle of object with less redundant regions. Furthermore, we find the head direction of the object through prediction. There are three important changes to our framework over traditional detection methods, representation and regression of rotational bounding box, head direction prediction and rotational non-maximal suppression. Experiments based on remote sensing images from Google Earth for Object detection show that our detection method based on rotational region CNN has a competitive performance.

关键词： Object detection Rotating region Convolution neural network Prediction Non-maximal suppression

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Single-polarized and Polarimetric SAR Images Applied on Unsupervised Classification

A Comparative Study of Single-polarized and Polarimetric SAR...

引用

IEEE International Conference on Radar

作者： Junrong Qu Xiaolan Qiu Key Laboratory of Technology in Geo-spatial Information and Application System Aerospace Information Research Institute Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-spatial Information and Application System Aerospace Information Research Institute Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665468893

SAR image understanding is a significant but also challenging issue in practice. In order to detect the difference between single-polarized and polarimetric SAR (PolSAR) data and explore more information from the pre one, we use GF3 data for experiments and adopt the Deep Clustering with Convolutional Autoencoders (DCEC) algorithm for single-polarized SAR image unsupervised classification. Using both the Kappa coefficient and mutual information derived from the confusion matrix, the results of single-polarized SAR data and PolSAR data are compared. It shows that the classification results of single-polarized SAR data match with the polarimetric ones to some extent, and their results are comparable in some specific applications. This paper presents the potential of information mining from single-polarized SAR images, as well as gives some references for the selection and trade-off between single- and full-polarized SAR data.

关键词： Image resolution Correlation Clustering algorithms Scattering Radar imaging Radar polarimetry Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

An improved method to sort and pair TDOA based on the correlation between TDOAs

An improved method to sort and pair TDOA based on the correl...

引用

6th International Conference on Radar, RADAR 2011

作者： Ren, Wen-Juan Hu, Dong-Hui Ding, Chi-Biao Institute of Electronics Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing 100190 China Graduate School Chinese Academy of Sciences No. 19 North 4yh Ring Road West Haidian District Beijing 100190 China

ISBN: (纸本)9781424484416

In TDOA passive location system, the situations in which false TDOA combinations arose are sorted. For extracting the correct TDOA combination of the radiant source, an improved method to sort and pair TDOA is proposed in this paper. The method can eliminate the false TDOA combinations which are reduced by sub-PRI(pulse repetition interval) of the radiant source with high pulse repetition frequency(PRF) and the equality of multiple targets' TDOAs, and associate all TDOA combinations which belong to the same target. The method enhances the accuracy of extracting TDOA combination and reduces the computation load and the complexity of afterward processing. © 2011 IEEE.

关键词： Time difference of arrival

来源：评论

学校读者我要写书评

暂无评论

On-orbit geometric rectification for micro-satellite based on Lightweight feature database

On-orbit geometric rectification for micro-satellite based o...

引用

IEEE International Symposium on geoscience and Remote Sensing (IGARSS)

作者： Linhui Wang Yuming Xiang Feng Wang Yuxin Hu Hongjian You Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Aerospace Information Research Institute Chinese Academy of Sciences School of Electronics Electrical and Communication Engineering University of Chinese Academy of Sciences

On-orbit processing is becoming more prevalent due to its ability to efficiently exploit satellite resources. On-orbit geometric rectification improves positioning accuracy for follow-up tasks such as object detection or geometric calibration, while avoiding heavy burden on downlinking bandwidth and time delay. However, existing rectification methods faces some challenges. The hardware resources onboard satellites are restricted, and geographic positioning is often inaccurate. In this article, we propose a novel method designed for on-orbit rectification. The proposed method introduces a two-step registration framework to overcome large initial offsets and also a feature-compressing strategy to reduce the storage space of reference patches. Quantitative and practical experiments demonstrate that the proposed method performs well in terms of storage space, time efficiency as well as registration accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

RELAXATION LABELLING BASED LAND MASKING IN SAR IMAGES

RELAXATION LABELLING BASED LAND MASKING IN SAR IMAGES

引用

IEEE International geoscience and Remote Sensing Symposium

作者： Zongxu Pan Lei Liu Bin Lei Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Chinese Academy of Sciences Beijing China

In this paper, a relaxation labelling based land masking method is proposed for separating sea and land in SAR images. Land masking, also known as sea-land segmentation, is a part of ship detection system for SAR images to avoid detecting false alarms in the land. Relaxation labeling is an iterative method, which can separate foreground pixels from background ones using the neighborhood information of pixels in the image. When relaxation labelling converges, the segmented result is often unsatisfactory, since it tends to label more foreground pixels. To overcome this issue, a loss composed of the background probability distribution diversity and the gradient magnitude of the result is introduced to indicate when to stop the iteration. Experimental results on several Gaofen-3 SAR images demonstrate the effectiveness of the proposed method.

关键词： Labeling Image segmentation Synthetic aperture radar Marine vehicles Probability distribution Morphology Iterative methods

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 << < 33 34 35 36 37 38 39 40 41 42 > >>

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：