检索结果-内蒙古大学图书馆

Conference on Multisensor, Multisource Information fusion

作者： Zhang, Y Univ New Brunswick Dept Geodesy & Geomat Engn Fredericton NB E3B 5A3 Canada

ISBN: (纸本)0819457981

High resolution and highly sensitive colour digital sensors are desired for many applications, including military and civilian missions. Due to the limitation of spectral bandwidth, the sensitivity of a digital colour sensor is usually three times lower than that of a digital panchromatic sensor with a spectral bandwidth of the entire visible range or a range from visible to near infrared. This paper introduces a conceptual architecture for producing a triple sensitive colour digital frame sensor. Automatic image fusion techniques are involved to integrate colour and panchromatic images to increase the sensitivity of the colour sensor. Available satellite colour and panchromatic images are tested to prove the concept. The test results demonstrate that the introduced architecture is promising for developing real triple sensitive colour digital sensors.

关键词： digital sensor colour high sensitivity high resolution image fusion

来源：评论

学校读者我要写书评

暂无评论

Optimal sensor dimension reduction in estimation fusion

Optimal sensor dimension reduction in estimation fusion

引用

Conference on Multisensor, Multisource Information fusion

作者： Song, EB Zhu, YM Zhou, J Sichuan Univ Dept Math Chengdu 610064 Peoples R China

ISBN: (纸本)0819457981

When there exists the limitation of communication bandwidth between sensors and a fusion center, one needs to optimally pre-compress sensor outputs-sensor observations or estimates before sensors' transmission to obtain a constrained optimal estimation at the fusion center in terms of the linear minimum error variance criterion. This paper will give an analytic solution of the optimal linear dimensionality compression matrix for the single sensor case and analyze the existence of the optimal linear dimensionality compression matrix for the multisensor case, as well as how to implement a Gauss-Seidel algorithm to search for an optimal solution to linear dimensionality compression matrix.

关键词： multisensor estimation fusion linear compression minimum variance estimation

来源：评论

学校读者我要写书评

暂无评论

A controllable sensor management algorithm capable of learning

A controllable sensor management algorithm capable of learni...

引用

Conference on Multisensor, Multisource Information fusion

作者： Osadciw, L veeramacheneni, K Syracuse Univ Syracuse NY 13244 USA

ISBN: (纸本)0819457981

sensor management technology progress is challenged by the geographic space it spans, the heterogeneity of the sensors, and the real-time timeframes within which plans controlling the assets are executed. This paper presents a new sensor management paradigm and demonstrates its application in a sensor management algorithm designed for a biometric access control system. This approach consists of an artificial intelligence (AI) algorithm focused on uncertainty measures, which makes the high level decisions to reduce uncertainties and interfaces with the user, integrated cohesively with a bottom up evolutionary algorithm, which optimizes the sensor network's operation as deter-mined by the AI algorithm. The sensor management algorithm presented is composed of a Bayesian network, the AI algorithm component, and a swarm optimization algorithm, the evolutionary algorithm. Thus, the algorithm can change its own performance goals in real-time and will modify its own decisions based on observed measures within the sensor network. The definition of the measures as well as the Bayesian network determine the robustness of the algorithm and its utility in reacting dynamically to changes in the global system.

关键词： sensor networks sensor management data fusion swarm algorithms Bayesian networks

来源：评论

学校读者我要写书评

暂无评论

Product-based multiresolution image fusion

Product-based multiresolution image fusion

引用

Conference on Multisensor, Multisource Information fusion

作者： Ostrem, T Kozaitis, SP Florida Inst Technol Dept Elect & Comp Engn Melbourne FL 32901 USA

ISBN: (纸本)0819457981

We combined images from different sensors that were enhanced by multiscale products of the wavelet coefficients. Using the wavelet transform, we used a multiresolution analysis to form products of coefficients across scales. Then, a fusion rule was applied to the product images to determine how the original images could be combined. Using this approach, we were able to decrease the sensitivity of the fusion process to noise.

关键词： multiresolution image processing sensor fusion wavelet transform

来源：评论

学校读者我要写书评

暂无评论

Urban remote sensing using multiple data sets: Past, present, and future

引用

Information fusion 2005年第4期6卷 319-326页

作者： Gamba, Paolo Dell'Acqua, Fabio Dasarathy, Belur v. Department of Electronics University of Pavia Via Ferrata 1 27100 Pavia Italy 1313 Chandler Road Huntsville AL 35801 United States

This presentation aims at stimulating ongoing research and development on the topic of urban remote sensing exploiting multiple data sets by offering a bibliographic review of the state-of-the-art and a look at the future in terms of the identifiable needs and advancement potential. The increasing availability of large amounts of data suitable for urban applications demands the development of adequate algorithms and procedures for their (semi-) automatic characterization. This study takes stock of the current achievements as reported in the technical literature that are particularly relevant to the interests of the remote sensing & information technology (RS&IT) community. It is also aimed at foreseeing and proposing future lines of research, focusing on the algorithms and techniques particularly suited for multiple data sets analysis in the urban areas. Many sensor types (optical, thermal, laser, SAR) are considered, and particular attention is given to satellite data analysis. After a review of the existing literature, the paper describes interesting application fields that are very much open for further research and the potential that urban remote sensing and urban data fusion offer to end users. © 2005 Elsevier B.v. All rights reserved.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Multispectral sensor fusion using the projection-slice theorem

Multispectral sensor fusion using the projection-slice theor...

引用

Conference on Multisensor, Multisource Information fusion

作者： Riasati, vR Ro, S Sci Applicat Int Corp San Diego CA 92121 USA

ISBN: (纸本)0819457981

In this paper we discuss the utilization of the Projection-Slice Theorem, PST, to reduce a data set that display each multiple spectral band representation of an image and to extract variant features from those representation. Noise is removed from each of the one-dimensional projections of the images via PST and a wavelet transform thresholding process. The extracted features emphasize differences in spectral information from the same image and are combined through synthesis via the inverse PST. This sensor fusion method facilitates the design of filters to recognize an image with characteristics similar to the relevant features from each of the bands that have been incorporated in a combined multispectral/fused image. We present our method of feature extraction, wavelet noise removal, and data synthesis.

关键词： projection-slice theorem wavelet transforms data fusion multispectral components

来源：评论

学校读者我要写书评

暂无评论

Multiple objective optimization for active sensor management

Multiple objective optimization for active sensor management

引用

Conference on Multisensor, Multisource Information fusion

作者： Page, SF Dolia, AN Harris, CJ White, NM Univ Southampton Sch Elect & Comp Sci Southampton SO9 5NH Hants England

ISBN: (纸本)0819457981

The performance of a multi-sensor data fusion system is inherently constrained by the configuration of the given sensor suite. Intelligent or adaptive control of sensor resources has been shown to offer improved fusion performance in many applications. Common approaches to sensor management select sensor observation tasks that are optimal in terms of a measure of information. However, optimising for information alone is inherently sub-optimal as it does not take account of any other system requirements such as stealth or sensor power conservation. We discuss the issues relating to developing a suite of performance metrics for optimising multi-sensor systems and propose some candidate metrics. In addition it may not always be necessary to maximize information gain, in some cases small increases in information gain may take place at the cost of large sensor resource requirements. Additionally, the problems of sensor tasking and placement are usually treated separately, leading to a lack of coherency between sensor management frameworks. We propose a novel approach based on a high level decentralized information-theoretic sensor management architecture that unifies the processes of sensor tasking and sensor placement into a single framework. sensors are controlled using a minimax multiple objective optimisation approach in order to address probability of target detection, sensor power consumption, and sensor survivability whilst maintaining a target estimation covariance threshold. We demonstrate the potential of the approach through simulation of a multi-sensor, target tracking scenario and compare the results with a single objective information based approach.

关键词： sensor management resource allocation information filter multi-objective optimization target tracking

来源：评论

学校读者我要写书评

暂无评论

MASM: A market architecture for sensor management in distributed sensor networks

MASM: A market architecture for sensor management in distrib...

引用

Conference on Multisensor, Multisource Information fusion

作者： viswanath, A Mullen, T Hall, D Garga, A Penn State Univ Sch Informat Sci & Technol University Pk PA 16802 USA

ISBN: (纸本)0819457981

Rapid developments in sensor technology and its applications have energized research efforts towards devising a firm theoretical foundation for sensor management. Ubiquitous sensing, wide bandwidth communications and distributed processing provide both opportunities and challenges for sensor and process control and optimization. Traditional optimization techniques do not have the ability to simultaneously consider the wildly non-commensurate measures involved in sensor management in a single optimization routine. Market-oriented programming provides a valuable and principled paradigm to designing systems to solve this dynamic and distributed resource allocation problem. We have modeled the sensor management scenario as a competitive market, wherein the sensor manager holds a combinatorial auction to sell the various items produced by the sensors and the communication channels. However, standard auction mechanisms have been found not to be directly applicable to the sensor management domain. For this purpose, we have developed a specialized market architecture MASM (Market architecture for sensor Management). In MASM, the mission manager is responsible for deciding task allocations to the consumers and their corresponding budgets and the sensor manager is responsible for resource allocation to the various consumers. In addition to having a modified combinatorial winner determination algorithm, MASM has specialized sensor network modules that address commensurability issues between consumers and producers in the sensor network domain. A preliminary multi-sensor, multi-target simulation environment has been implemented to test the performance of the proposed system. MASM outperformed the information theoretic sensor manager in meeting the mission objectives in the simulation experiments.

关键词： sensor management market-oriented programming combinatorial auctions genetic algorithms information theory

来源：评论

学校读者我要写书评

暂无评论

sensor fusion for coastal waters surveillance

Sensor fusion for coastal waters surveillance

引用

Conference on Multisensor, Multisource Information fusion

作者： Doshi, B Benmohamed, L Chimento, P Wang, IJ Johns Hopkins Univ Appl Phys Lab Laurel MD 20723 USA

ISBN: (纸本)0819457981

We describe a large sensor field whose mission is to protect coastal waters by detecting objects like submarines. The system is buoy-based and distributed over a littoral area. The opportunities for detection are short and intermittent and the signal to noise ratio is low. The topology of the field changes with time due to currents, wind, tides and storms. The field has a number of gateway nodes that have the capability to transmit off-field through a satellite, a ship or a plane. We propose an approach to fusion that includes on-buoy processing, cooperative processing with nearest neighbors and the potential for off-field processing. Each stage of processing tries both to minimize false positive events and to maximize the probability of detection when an object is present. It also tries to minimize power used in order to prolong the life of the field. We analyze the optimal placement of gateway nodes in the field to minimize power consumption and maximize reliability and probability of successful off-field transmission. We analyze the duty cycles of the sensor and gateway nodes to optimize lifetime. We also analyze the traffic that the field will be expected to handle in order to support network control and coordination, distributed fusion, off-field communication (including queries and responses, and reporting of detection events), forwarding of traffic through individual sensor nodes toward gateways or for fusion.

关键词： distributed sensor field sensor networks coastal surveillance

来源：评论

学校读者我要写书评

暂无评论

Reduced data projection slice image fusion using principal component analysis

Reduced data projection slice image fusion using principal c...

引用

Conference on Multisensor, Multisource Information fusion

作者： Riasati, vR Zhou, H Sci Applicat Int Corp San Diego CA 92121 USA

ISBN: (纸本)0819457981

In this paper we discuss the utilization of Principal Component Analysis, PCA, with projection slice synthetic discriminant function (PSDF) filters to reduce a data set that represents images from different sensor systems in order to extract relative information and features from the image set. The PCA helps to emphasize the differences in each of the training images in a given class. These differences are encoded into the PSDF filters. The PSDF filters provide a premise for data fusion by utilization of the projection-slice theorem. The PSDF is implemented with a few training images generated from the PCA, containing relevant information from all of the training images. The data in the principle components that are used to represent the entire data set can be emphasized by conditioning the eigen-values of the basis vectors used to corroborate important data packets in the entire data set. ne method of data fusion, and preferred data emphasis in conjunction with the PST is discussed and the fused images are presented.

关键词： sensor fusion projection slice theorem principal component analysis synthetic discriminant functions

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：