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

263 篇 会议
18 篇 期刊文献
2 册 图书

馆藏范围

283 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

259 篇 工学
- 164 篇 计算机科学与技术...
- 91 篇 电气工程
- 45 篇 测绘科学与技术
- 40 篇 信息与通信工程
- 31 篇 软件工程
- 12 篇 仪器科学与技术
- 5 篇 光学工程
- 4 篇 机械工程
- 4 篇 控制科学与工程
- 4 篇 建筑学
- 4 篇 土木工程
- 4 篇 安全科学与工程
- 1 篇 力学（可授工学、理...
- 1 篇 动力工程及工程热...
- 1 篇 生物医学工程（可授...
- 1 篇 生物工程
149 篇 理学
- 139 篇 物理学
- 10 篇 数学
- 2 篇 系统科学
- 2 篇 统计学（可授理学、...
- 1 篇 生物学
113 篇 医学
- 113 篇 临床医学
15 篇 管理学
- 10 篇 图书情报与档案管...
- 6 篇 管理科学与工程(可...
- 4 篇 工商管理
3 篇 军事学

主题

45 篇 data fusion
42 篇 information fusi...
34 篇 image fusion
20 篇 sensor fusion
18 篇 fusion
12 篇 sensor data fusi...
12 篇 sensors
9 篇 image processing
9 篇 classification
9 篇 situation awaren...
8 篇 target tracking
8 篇 surveillance
7 篇 data mining
7 篇 tracking
7 篇 sensory fusion
7 篇 sensor networks
6 篇 cognitive roboti...
6 篇 data modeling
6 篇 navigation
5 篇 wavelet transfor...

机构

5 篇 fordham univ rob...
4 篇 syracuse univ de...
4 篇 penn state univ ...
4 篇 21st century sys...
4 篇 nova res inc ale...
3 篇 xidian univ sch ...
3 篇 naval res lab wa...
3 篇 usn res lab wash...
3 篇 pace univ dept c...
2 篇 tennessee state ...
2 篇 beihang univ sch...
2 篇 guilin univ elec...
2 篇 univ bremen cogn...
2 篇 ohio state univ ...
2 篇 los alamos natl ...
2 篇 syracuse univ sy...
2 篇 tno human factor...
2 篇 versatile inform...
2 篇 univ artois cril...
2 篇 fraunhofer inst ...

作者

11 篇 lyons damian m.
7 篇 hall david l.
5 篇 heizmann michael
5 篇 woodley robert
4 篇 minor christian
4 篇 varshney pk
4 篇 johnson kevin
4 篇 zein-sabatto sal...
4 篇 blasch erik
4 篇 graham jacob l.
4 篇 sander jennifer
4 篇 lynch robert
4 篇 rimland jeffrey ...
3 篇 nelson bn
3 篇 minor christian ...
3 篇 willett peter
3 篇 wang baoshu
3 篇 beyerer juergen
3 篇 benjamin d. paul
3 篇 ballora mark

语言

280 篇 英文
2 篇 中文
1 篇 其他

检索条件"任意字段=Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008"

共 283 条记录，以下是41-50 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：

STAC: A Comprehensive Sensor fusion Model for Scene Characterization

STAC: A Comprehensive Sensor Fusion Model for Scene Characte...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Kira, Zsolt Wagner, Alan R. Kennedy, Chris Zutty, Jason Tuell, Grady Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)9781628416145

We are interested in data fusion strategies for Intelligence, Surveillance, and Reconnaissance (ISR) missions. Advances in theory, algorithms, and computational power have made it possible to extract rich semantic information from a wide variety of sensors, but these advances have raised new challenges in fusing the data. For example, in developing fusion algorithms for moving target identification (MTI) applications, what is the best way to combine image data having different temporal frequencies, and how should we introduce contextual information acquired from monitoring cell phones or from human intelligence? In addressing these questions we have found that existing data fusion models do not readily facilitate comparison of fusion algorithms performing such complex information extraction, so we developed a new model that does. Here, we present the Spatial, Temporal, Algorithm, and Cognition (STAC) model. STAC allows for describing the progression of multi-sensor raw data through increasing levels of abstraction, and provides a way to easily compare fusion strategies. It provides for unambiguous description of how multi-sensor data are combined, the computational algorithms being used, and how scene understanding is ultimately achieved. In this paper, we describe and illustrate the STAC model, and compare it to other existing models.

关键词： multisensor fusion data fusion scene characterization scene understanding

来源：评论

学校读者我要写书评

暂无评论

Improved image segmentation using an inference fusion architecture

Improved image segmentation using an inference fusion archit...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2003

作者： Brucks, T Riddle, J Van Maasdam, P Raytheon Missile Syst Tucson AZ 85734 USA

ISBN: (纸本)0819449598

Image segmentation, a key component in many Automatic Target Recognition (ATR) systems, has received considerable attention in the research community in recent years. A variety of segmentation approaches exist, and attempts have been made to combine various approaches in order to find more robust solutions. In this paper, the authors describe an inference fusion architecture for combining individual segmentation concepts which results in improved performance over the individual algorithms. We consider segmentation algorithms with several disparate cost functions as experts with a narrowly defined set of goals. The information obtained from each expert is combined and weighted with available evidence using an agent based inference system, resulting in an adaptive, robust and highly flexible image segmentation. Results obtained by applying this approach will be presented.

关键词： ATR image segmentation inference systems information fusion

来源：评论

学校读者我要写书评

暂无评论

Classification of terrain using multi-resolution satellite/aerial imagery and LiDAR data

Classification of terrain using multi-resolution satellite/a...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2010

作者： Kocher, Brian R. Thomas, Alan M. Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)9780819481740

High resolution LiDAR data is used to augment spectral data to improve resolution/accuracy. Digital elevation information, texture information, and spectral data are all combined into a single dataset and different clustering algorithms are used on the raster information and compared with clusters of spectral data alone. Long term goals of the work are to find efficient and effective methods of combining different data sets of varying resolution from different sources into a single dataset for analysis to improve data and classification resolution and accuracy.

关键词： image fusion image processing texture multispectral imagery lidar data material classification

来源：评论

学校读者我要写书评

暂无评论

Fusing multiple images with evidential reasoning

Fusing multiple images with evidential reasoning

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2003

作者： Yuan, XH Jian, Z Buckles, BP Tulane Univ Dept Elect Engn & Comp Sci New Orleans LA 70001 USA

ISBN: (纸本)0819449598

An approach to fuse multiple images based on Dempster-Shafer evidential reasoning is proposed in this, article. Dempster-Shafer theory provides a complete framework for combining weak evidences from multiple sources. Such situations typically arise in the image fusion problems, where a 'real scene' image has to be estimated from incomplete and unreliable observations. By converting images from their spatial domain into the evidential representations, decisions are made to aggregate evidences such that a fused image is generated. The proposed fusion approach is evaluated on a broad set of images and promising results are given.

关键词： image fusion evidential reasoning multiscale decomposition

来源：评论

学校读者我要写书评

暂无评论

Learned fusion Operators Based on Matrix Completion

Learned Fusion Operators Based on Matrix Completion

引用

Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Risko, Kelly K. D. Hester, Charles F. US Army Res Dev & Engn Command Weap Dev & Integrat Directorate Aviat & Missile Res Dev & Engn Ctr Redstone Arsenal AL 35898 USA

ISBN: (纸本)9780819486387

The efficient and timely management of imagery captured in the battlefield requires methods capable of searching the voluminous databases and extracting highly symbolic concepts. When processing images, a semantic and definition gap exists between machine representations and the user's language. Based on matrix completion techniques, we present a fusion operator that fuses imagery and expert knowledge provided by user inputs during post analysis. Specifically, an information matrix is formed from imagery and a class map as labeled by an expert. From this matrix an image operator is derived for the extraction/prediction of information from future imagery. We will present results using this technique on single mode data.

关键词： fusion matrix completion class map

来源：评论

学校读者我要写书评

暂无评论

Advances in image registration and fusion

Advances in image registration and fusion

引用

Conference on multisensor, multisource information fusion

作者： Steer, Chris Rogers, Jeremy Smith, Moira Heather, Jamie Bernhardt, Mark Hickman, Duncan Waterfall Solut Ltd Surrey GU2 9JX England

ISBN: (纸本)9780819471659

Many image fusion systems involving passive sensors require the accurate registration of the sensor data prior to performing fusion. Since depth information is not readily available in such systems, all registration algorithms are intrinsically approximations based upon various assumption about the depth field. Although often overlooked, many registration algorithms can break down in certain situations and this may adversely affect the image fusion performance. In this paper, we discuss a framework for quantifying the accuracy and robustness of image registration algorithms which allows a more precise understanding of their shortcomings. In addition, some novel algorithms have been investigated that overcome some of these limitations. A second aspect of this work has considered the treatment of images from multiple sensors whose angular and spatial separation is large and where conventional registration algorithms break down (typically greater than a few degrees of separation). A range of novel approaches is reported which exploit the use of parallax to estimate depth information and reconstruct a geometrical model of the scene. The imagery can then be combined with this geometrical model to render a variety of useful representations of the data. These techniques (which we term Volume Registration) show great promise as a means of gathering and presenting 3D and 4D scene information for both military and civilian applications.

关键词： model generation registration fusion

来源：评论

学校读者我要写书评

暂无评论

Design of a performance evaluation methodology for data fusion-based multiple target tracking systems

Design of a performance evaluation methodology for data fusi...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2003

作者： Rawat, S Llinas, J Bowman, C SUNY Buffalo Ctr Multisource Informat Fus Buffalo NY 14260 USA

ISBN: (纸本)0819449598

The emphasis of this paper is to design a Performance Evaluation Methodology for Data fusion-based Multiple Target Tracking Systems. Within this methodology the Performance Evaluation process is treated as a whole new fusion process. This has two major advantages - (1) Facilitates reusability of existing models and algorithms, and (2) Using standard frameworks and norms makes it easier for the tracking community to easily adopt it - thus giving this aspect of tracking a highly needed jumpstart. A case study implementation of this design methodology is presented. Three different Track-Truth Association strategies were implemented to study the effect of Track-Truth Association strategies on the performance metrics. The case study results conclusively show that the selection of the Track-Truth Association strategy should be done with reference to the scenario characteristics, the "mission" goals and the performance metrics to be evaluated.

关键词： data fusion target tracking performance evaluation

来源：评论

学校读者我要写书评

暂无评论

Image fusion for remote sensing using fast, large-scale neuroscience models

Image fusion for remote sensing using fast, large-scale neur...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Brumby, Steven P. Los Alamos Natl Lab Los Alamos NM 87545 USA

ISBN: (纸本)9780819486387

We present results with large-scale neuroscience-inspired models for feature detection using multi-spectral visible/infrared satellite imagery. We describe a model using an artificial neural network architecture and learning rules to build sparse scene representations over an adaptive dictionary, fusing spectral and spatial textural characteristics of the objects of interest. Our results with fast codes implemented on clusters of graphical processor units (GPUs) suggest that visual cortex models are a promising approach to practical pattern recognition problems in remote sensing, even for datasets using spectral bands not found in natural visual systems.

关键词： Visual cortex sparse coding artificial neural network

来源：评论

学校读者我要写书评

暂无评论

Minimizing both dropped formulas and concepts in knowledge fusion

Minimizing both dropped formulas and concepts in knowledge f...

引用

Conference on multisensor, multisource information fusion

作者： Gregoire, Eric Univ Artois CRIL CNRS F-62307 Lens France

ISBN: (纸本)0819462985

In this paper, a new family of approaches to fuse inconsistent knowledge sources is introduced in a standard logical setting. They combine two preference criteria to arbitrate between conflicting information: the minimization of falsified formulas and the minimization of the number of the different atoms that are involved in those formulas. Although these criteria exhibit a syntactical flavor, the approaches are semantically-defined.

关键词： logic-based fusion knowledge fusion syntactical fusion operators

来源：评论

学校读者我要写书评

暂无评论

Generalized information fusion and Visualization Using Spatial Voting and Data Modeling

Generalized Information Fusion and Visualization Using Spati...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms, and applications

作者： Jaenisch, Holger M. Handley, James W. SPIE Bellingham WA 98227 USA Licht Strahl Engn INC Toney AL 35773 USA Johns Hopkins Univ Baltimore MD 21218 USA

ISBN: (纸本)9780819495471

We present a novel and innovative information fusion and visualization framework for multi-source intelligence (multiINT) data using Spatial Voting (SV) and Data Modeling. We describe how different sources of information can be converted into numerical form for further processing downstream, followed by a short description of how this information can be fused using the SV grid. As an illustrative example, we show the modeling of cyberspace as cyber layers for the purpose of tracking cyber personas. Finally we describe a path ahead for creating interactive agile networks through defender customized Cyber-cubes for network configuration and attack visualization.

关键词： Spatial Voting Data Modeling information fusion Agile networks Cyber defense Cyber Persona Tracking

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29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：