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

265 篇 会议
18 篇 期刊文献
1 册 图书

馆藏范围

284 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

260 篇 工学
- 166 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
- 32 篇 软件工程
- 12 篇 仪器科学与技术
- 5 篇 光学工程
- 5 篇 控制科学与工程
- 4 篇 机械工程
- 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
148 篇 理学
- 139 篇 物理学
- 10 篇 数学
- 2 篇 统计学（可授理学、...
- 1 篇 生物学
- 1 篇 系统科学
114 篇 医学
- 114 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
43 篇 information fusi...
34 篇 image fusion
20 篇 sensor fusion
18 篇 fusion
12 篇 sensor data fusi...
12 篇 sensors
9 篇 classification
9 篇 situation awaren...
8 篇 target tracking
8 篇 image processing
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 llinas j
3 篇 benjamin d. paul

语言

281 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 2003"

共 284 条记录，以下是31-40 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：

Considerations for Multiple Hypothesis Correlation on Tactical Platforms

Considerations for Multiple Hypothesis Correlation on Tactic...

引用

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

作者： Thomas, Alan M. Turpen, James E. Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30318 USA

ISBN: (纸本)9780819495471

Tactical platforms benefit greatly from the fusion of tracks from multiple sources in terms of increased situation awareness. As a necessary precursor to this track fusion, track-to-track association, or correlation, must first be performed. The related measurement-to-track fusion problem has been well studied with multiple hypothesis tracking and multiple frame assignment methods showing the most success. The track-to-track problem differs from this one in that measurements themselves are not available but rather track state update reports from the measuring sensors. Multiple hypothesis, multiple frame correlation systems have previously been considered;however, their practical implementation under the constraints imposed by tactical platforms is daunting. The situation is further exacerbated by the inconvenient nature of reports from legacy sensor systems on bandwidth-limited communications networks. In this paper, consideration is given to the special difficulties encountered when attempting the correlation of tracks from legacy sensors on tactical aircraft. Those difficulties include the following: covariance information from reporting sensors is frequently absent or incomplete;system latencies can create temporal uncertainty in data;and computational processing is severely limited by hardware and architecture. Moreover, consideration is given to practical solutions for dealing with these problems in a multiple hypothesis correlator.

关键词： Data Association Multiple Hypothesis Correlation Multiple Hypothesis Tracking Avionics information fusion Sensors

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Image fusion Methods in Transform Domain

Performance Analysis of Image Fusion Methods in Transform Do...

引用

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

作者： Choi, Yoonsuk Sharifahmadian, Ershad Latifi, Shahram Univ Nevada Dept Elect & Comp Engn 4505 Maryland Pkwy Las Vegas NV 89154 USA

ISBN: (纸本)9780819495471

Image fusion involves merging two or more images in such a way as to retain the most desirable characteristics of each. There are various image fusion methods and they can be classified into three main categories: i) Spatial domain, ii) Transform domain, and iii) Statistical domain. We focus on the transform domain in this paper as spatial domain methods are primitive and statistical domain methods suffer from a significant increase of computational complexity. In the field of image fusion, performance analysis is important since the evaluation result gives valuable information which can be utilized in various applications, such as military, medical imaging, remote sensing, and so on. In this paper, we analyze and compare the performance of fusion methods based on four different transforms: i) wavelet transform, ii) curvelet transform, iii) contourlet transform and iv) nonsubsampled contourlet transform. fusion framework and scheme are explained in detail, and two different sets of images are used in our experiments. Furthermore, various performance evaluation metrics are adopted to quantitatively analyze the fusion results. The comparison results show that the nonsubsampled contourlet transform method performs better than the other three methods. During the experiments, we also found out that the decomposition level of 3 showed the best fusion performance, and decomposition levels beyond level-3 did not significantly affect the fusion results.

关键词： Curvelet contourlet decomposition nonsubsampled contourlet wavelet

来源：评论

学校读者我要写书评

暂无评论

Measuring knowledge: investigative research into the quantification of performance within a contextual multi-source PED fusion process

Measuring knowledge: investigative research into the quantif...

引用

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

作者： Scarff, Larry A. Burke, Dustin Jones, Eric Gilfillan, Lynne Pratt, Stephanie Jackson, Cullen Weil, Shawn Fiore, Stephen UTC Aerosp Syst 7 Technol Pk Dr Westford MA 01886 USA

ISBN: (纸本)9780819495471

Most intelligence analysts currently use information Products (IP) from multiple sources with very different characteristics to perform a variety of intelligence tasks. In order to maximize the analysts' efficacy (and ultimately provide intelligent automation), it is important to understand how and what each IP within the set of IPs contributes to the accuracy and validity of the analytic result. This paper describes initial research toward the development of a scale, analogous to the National Imagery Interpretability Scale (NIIRS), which will measure the knowledge contribution of each of the multi-source IPs, as well as measuring the extent to which the IP set as a whole meets the enduser's intelligence need -which is actionable knowledge. This scale, the Knowledge-NIIRS (KnIIRS), when completed, will support the measurement of the quality and quantity of information gained through multi-source IP fusion and enables the development of smart (automated) tools for analysts using the next generation of PED workstations. The results of this initial study indicate that analysts are capable of making judgments that reflect the "value" of fused information, and that the judgments they make vary along at least two dimensions. Furthermore, there are substantial and significant differences among analysts in how they make these judgments that must be considered for further scale development. We suggest that the KnIIRS objectives and its derived understandings offer important and critical insights to enable automation that will achieve the goal to deliver actionable knowledge.

关键词： knowledge intelligence analyst interpretability information fusion multidimensional scaling NIIRS TCPED KnIIRS knowledge-NIIRS

来源：评论

学校读者我要写书评

暂无评论

Affordable Non-Traditional Source Data Mining for Context Assessment to Improve Distributed fusion System Robustness

Affordable Non-Traditional Source Data Mining for Context As...

引用

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

作者： Bowman, Christopher Haith, Gary Data Fusion & Neural Networks LLC (United States) Georgia Tech Research Institute (United States) Arctan Group LLC (United States)

ISBN: (纸本)9780819495471

This paper describes methods to affordably improve the robustness of distributed fusion systems by opportunistically leveraging non-traditional data sources. Adaptive methods help find relevant data, create models, and characterize the model quality. These methods also can measure the conformity of this non-traditional data with fusion system products including situation modeling and mission impact prediction. Non-traditional data can improve the quantity, quality, availability, timeliness, and diversity of the baseline fusion system sources and therefore can improve prediction and estimation accuracy and robustness at all levels of fusion. Techniques are described that automatically learn to characterize and search non-traditional contextual data to enable operators integrate the data with the high-level fusion systems and ontologies. These techniques apply the extension of the Data fusion & Resource Management Dual Node Network (DNN) technical architecture at Level 4. The DNN architecture supports effectively assessment and management of the expanded portfolio of data sources, entities of interest, models, and algorithms including data pattern discovery and context conformity. Affordable model-driven and data-driven data mining methods to discover unknown models from non-traditional and 'big data' sources are used to automatically learn entity behaviors and correlations with fusion products, [14 and 15]. This paper describes our context assessment software development, and the demonstration of context assessment of non-traditional data to compare to an intelligence surveillance and reconnaissance fusion product based upon an IED POIs workflow.

关键词： Data fusion Data modeling Sensors Systems modeling Intelligence systems Data processing Performance modeling Control systems Data acquisition Data mining

来源：评论

学校读者我要写书评

暂无评论

A methodology for hard/soft information fusion in the condition monitoring of aircraft

A methodology for hard/soft information fusion in the condit...

引用

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

作者： Bernardo, Joseph T. Penn State Univ Appl Res Lab Mail Stop 4520EPOB 30 State Coll PA 16804 USA

ISBN: (纸本)9780819495471

Condition-based maintenance (CBM) refers to the philosophy of performing maintenance when the need arises, based upon indicators of deterioration in the condition of the machinery. Traditionally, CBM involves equipping machinery with electronic sensors that continuously monitor components and collect data for analysis. The addition of the multisensor. capability of human cognitive functions (i.e., sensemaking, problem detection, planning, adaptation, coordination, naturalistic decision making) to traditional CBM may create a fuller picture of machinery condition. Cognitive systems engineering techniques provide an opportunity to utilize a dynamic resource-people acting as soft sensors. The literature is extensive on techniques to fuse data from electronic sensors, but little work exists on fusing data from humans with that from electronic sensors (i.e., hard/soft fusion). The purpose of my research is to explore, observe, investigate, analyze, and evaluate the fusion of pilot and maintainer knowledge, experiences, and sensory perceptions with digital maintenance resources. Hard/soft information fusion has the potential to increase problem detection capability, improve flight safety, and increase mission readiness. This proposed project consists the creation of a methodology that is based upon the Living Laboratories framework, a research methodology that is built upon cognitive engineering principles(1). This study performs a critical assessment of concept, which will support development of activities to demonstrate hard/soft information fusion in operationally relevant scenarios of aircraft maintenance. It consists of fieldwork, knowledge elicitation to inform a simulation and a prototype.

关键词： hard/soft information fusion condition-based maintenance condition monitoring aircraft maintenance cognitive task analysis macrocognition sociotechnical systems human factors

来源：评论

学校读者我要写书评

暂无评论

fusion of Ranging Data From Robot Teams Operating in Confined Areas

Fusion of Ranging Data From Robot Teams Operating in Confine...

引用

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

作者： Lyons, Damian M. Shrestha, Karma Liu, Tsung-Ming Fordham Univ Robot & Comp Vis Lab Bronx NY 10458 USA

ISBN: (纸本)9780819495471

We address the problem of fusing laser ranging data from multiple mobile robots that are surveying an area as part of a robot search and rescue or area surveillance mission. We are specifically interested in the case where members of the robot team are working in close proximity to each other. The advantage of this teamwork is that it greatly speeds up the surveying process;the area can be quickly covered even when the robots use a random motion exploration approach. However, the disadvantage of the close proximity is that it is possible, and even likely, that the laser ranging data from one robot include many depth readings caused by another robot. We refer to this as mutual interference. Using a team of two Pioneer 3-AT robots with tilted SICK LMS-200 laser sensors, we evaluate several techniques for fusing the laser ranging information so as to eliminate the mutual interference. There is an extensive literature on the mapping and localization aspect of this problem. Recent work on mapping has begun to address dynamic or transient objects. Our problem differs from the dynamic map problem in that we look at one kind of transient map feature, other robots, and we know that we wish to completely eliminate the feature. We present and evaluate three different approaches to the map fusion problem: a robot-centric approach, based on estimating team member locations;a map-centric approach, based on inspecting local regions of the map, and a combination of both approaches. We show results for these approaches for several experiments for a two robot team operating in a confined indoor environment.

关键词： cognitive robotics navigation sensory fusion

来源：评论

学校读者我要写书评

暂无评论

An Approach to DSM Refinement with fusion of Airborne LiDAR Point Cloud Data and Optical Imagery

An Approach to DSM Refinement with Fusion of Airborne LiDAR ...

引用

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

作者： Hao Xiangyang Zhang Weiqiang Jiang Lixing Zhengzhou Inst Surveying & Mapping 66 Middle Longhai Rd Zhengzhou 450052 Henan Peoples R China

ISBN: (纸本)9780819495471

The airborne LiDAR system, which usually integrated with optical camera, is an efficient way of acquiring 3D geographic information and enjoys widely application in building DSM. However, when the airborne LiDAR is used in urban area, where there are a large amount of tall buildings, the characteristic points of buildings are seldom measured and the measured points are frequently too sparse to create precise building models. In this paper, an approach to DSM refining DSM in urban area with fusion of airborne LiDAR point cloud data and optical imagery is put forward. Firstly, the geometric relationship between the airborne LiDAR point and the correspondent pixel on the image synchronously taken by optical camera is analyzed. The relative position and attitude parameters between the laser rangefinder and the camera are determined in the process of alignment and calibration. Secondly, the building roof edges on the optical image are extracted by edge detection. By tracing the building roof edges, the contours of building roofs in vector format are acquired and the characteristic points of buildings are further extracted. Thirdly, all the LiDAR measured points on the roof of specific building are separated from the point cloud data by judging the geometric relation between LiDAR measured points and the building outline, which is represented by a polygon, according to their plane coordinates. Finally, the DSM refinement for buildings can be implemented. All pixels representing the building roof are given heights as same as that of nearer LiDAR point inside the polygon. Ortho-photo map and virtual building models of urban area with higher quality can be reached with the refined DSM and optical images.

关键词： Airborne LiDAR optical image laser point cloud edge detection fusion

来源：评论

学校读者我要写书评

暂无评论

Using classifier fusion to improve the performance of multiclass classification problems

Using classifier fusion to improve the performance of multic...

引用

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

作者： Lynch, Robert Willett, Peter Signal & Informat Proc Syst Consultant Old Mystic CT 06372 USA

ISBN: (纸本)9780819495471

The problem of multiclass classification is often modeled by breaking it down into a collection of binary classifiers, as opposed to jointly modeling all classes with a single primary classifier. Various methods can be found in the literature for decomposing the multiclass problem into a collection of binary classifiers. Typical algorithms that are studied here include each versus all remaining (EVAR), each versus all individually (EVAI), and output correction coding (OCC). With each of these methods a classifier fusion based decision rule is formulated utilizing the various binary classifiers to determine the correct classification of an unknown data point. For example, with EVAR the binary classifier with maximum output is chosen. For EVAI, the correct class is chosen using a majority voting rule, and with OCC a comparison algorithm based minimum Hamming distance metric is used. In this paper, it is demonstrated how these various methods perform utilizing the Bayesian Reduction Algorithm (BDRA) as the primary classifier. BDRA is a discrete data classification method that quantizes and reduces the dimensionality of feature data for best classification performance. In this case, BDRA is used to not only train the appropriate binary classifier pairs, but it is also used to train on the discrete classifier outputs to formulate the correct classification decision of unknown data points. In this way, it is demonstrated how to predict which binary classification based algorithm method (i.e., EVAR, EVAI, or OCC) performs best with BDRA. Experimental results are shown with real data sets taken from the Knowledge Extraction based on Evolutionary Learning (KEEL) and University of California at Irvine (UCI) Repositories of classifier Databases. In general, and for the data sets considered, it is shown that the best classification method, based on performance with unlabeled test observations, can be predicted form performance on labeled training data. Specifically, the best me

关键词： Dirichlet distribution Discrete features Dimensionality reduction Classifier and Feature fusion Keel and UCI Repositories

来源：评论

学校读者我要写书评

暂无评论

Enhancing situational awareness by means of visualization and information integration of sensor networks

Enhancing situational awareness by means of visualization an...

引用

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

作者： Timonen, J. Vankka, J. Finnish Natl Def Univ Dept Mil Technol POB 7 FI-00861 Helsinki Finland

ISBN: (纸本)9780819495471

This paper presents a solution for information integration and sharing architecture, which is able to receive data simultaneously from multiple different sensor networks. Creating a Common Operational Picture (COP) object along with the base map of the building plays a key role in the research. The object is combined with desired map sources and then shared to the mobile devices worn by soldiers in the field. The sensor networks we used focus on location techniques indoors, and a simple set of symbols is created to present the information, as an addition to NATO APP6B symbols. A core element in this research is the MUSAS (Mobile Urban Situational Awareness System), a demonstration environment that implements central functionalities. information integration of the system is handled by the Internet Connection Engine (Ice) middleware, as well as the server, which hosts COP information and maps. The entire system is closed, such that it does not need any external service, and the information transfer with the mobile devices is organized by a tactical 5 GHz WLAN solution. The demonstration environment is implemented using only commercial off-theshelf (COTS) products. We have presented a field experiment event in which the system was able to integrate and share real time information of a blue force tracking system, received signal strength indicator (RSSI) based intrusion detection system, and a robot using simultaneous location and mapping technology (SLAM), where all the inputs were based on real activities. The event was held in a training area on urban area warfare.

关键词： Common Operational Picture information integration urban warfare wireless sensor platform Mobile Urban Area Situational Awareness System Situational Awareness

来源：评论

学校读者我要写书评

暂无评论

Scalable sensor management for automated fusion and tactical reconnaissance

Scalable sensor management for automated fusion and tactical...

引用

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

作者： Walls, Thomas J. Wilson, Michael L. Partridge, Darin C. Haws, Jonathan R. Jensen, Mark D. Johnson, Troy R. Petersen, Brad D. Sullivan, Stephanie W. Naval Res Lab 4555 Overlook Ave SW Washington DC 20375 USA

ISBN: (纸本)9780819495471

The capabilities of tactical intelligence, surveillance, and reconnaissance (ISR) payloads are expanding from single sensor imagers to integrated systems-of-systems architectures. Increasingly, these systems-of-systems include multiple sensing modalities that can act as force multipliers for the intelligence analyst. Currently, the separate sensing modalities operate largely independent of one another, providing a selection of operating modes but not an integrated intelligence product. We describe here a Sensor Management System (SMS) designed to provide a small, compact processing unit capable of managing multiple collaborative sensor systems on-board an aircraft. Its purpose is to increase sensor cooperation and collaboration to achieve intelligent data collection and exploitation. The SMS architecture is designed to be largely sensor and data agnostic and provide flexible networked access for both data providers and data consumers. It supports pre-planned and ad-hoc missions, with provisions for on-demand tasking and updates from users connected via data links. Management of sensors and user agents takes place over standard network protocols such that any number and combination of sensors and user agents, either on the local network or connected via data link, can register with the SMS at any time during the mission. The SMS provides control over sensor data collection to handle logging and routing of data products to subscribing user agents. It also supports the addition of algorithmic data processing agents for feature/target extraction and provides for subsequent cueing from one sensor to another. The SMS architecture was designed to scale from a small UAV carrying a limited number of payloads to an aircraft carrying a large number of payloads. The SMS system is STANAG 4575 compliant as a removable memory module (RMM) and can act as a vehicle specific module (VSM) to provide STANAG 4586 compliance (level-3 interoperability) to a non-compliant sensor system. Th

关键词： multi-INT data fusion sensing modality sensor management network sensor tasking automation algorithmic processing scalable systems-of-systems

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：