Application Of Multi Sensor Fusion Technology In Target Detection And Recognition

Author : Jukka Heikkonen,Fahimeh Farahnakian
Publisher : Unknown
Page : 0 pages
File Size : 50,7 Mb
Release : 2022
Category : Electronic
ISBN : 3036513515

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Application of Multi-Sensor Fusion Technology in Target Detection and Recognition by Jukka Heikkonen,Fahimeh Farahnakian Pdf

Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and the military. These methods can obtain the complementary properties of targets by considering multiple sensors. On the other hand, they can achieve a detailed environment description and accurate detection of interest targets based on the information from different sensors.This book collects novel developments in the field of multi-sensor, multi-source, and multi-process information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Published papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems.

Author : Yuming Gong, Zeyu Ma,MeijuanWang, Xinyang Deng,Wen Jiang
Publisher : Infinite Study
Page : 18 pages
File Size : 50,7 Mb
Release : 2024-07-01
Category : Mathematics
ISBN : 8210379456XXX

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A New Multi-Sensor Fusion Target Recognition Method Based on Complementarity Analysis and Neutrosophic Set by Yuming Gong, Zeyu Ma,MeijuanWang, Xinyang Deng,Wen Jiang Pdf

To improve the efficiency, accuracy, and intelligence of target detection and recognition, multi-sensor information fusion technology has broad application prospects in many aspects. Compared with single sensor, multi-sensor data contains more target information and effective fusion of multi-source information can improve the accuracy of target recognition. However, the recognition capabilities of different sensors are different during target recognition, and the complementarity between sensors needs to be analyzed during information fusion. This paper proposes a multi-sensor fusion recognition method based on complementarity analysis and neutrosophic set. The proposed method mainly has two parts: complementarity analysis and data fusion. Complementarity analysis applies the trained multi-sensor to extract the features of the verification set into the sensor, and obtain the recognition result of the verification set. Based on recognition result, the multi-sensor complementarity vector is obtained. Then the sensor output the recognition probability and the complementarity vector are used to generate multiple neutrosophic sets. Next, the generated neutrosophic sets are merged within the group through the simplified neutrosophic weighted average (SNWA) operator. Finally, the neutrosophic set is converted into crisp number, and the maximum value is the recognition result. The practicality and effectiveness of the proposed method in this paper are demonstrated through examples.

Author : Xue-Bo Jin,Yuan Gao
Publisher : MDPI
Page : 602 pages
File Size : 40,8 Mb
Release : 2020-03-23
Category : Technology & Engineering
ISBN : 9783039283026

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Multi-Sensor Information Fusion by Xue-Bo Jin,Yuan Gao Pdf

This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Author : Gemine Vivone,Paolo Addesso,Amanda Ziemann
Publisher : MDPI
Page : 336 pages
File Size : 50,7 Mb
Release : 2020-03-06
Category : Science
ISBN : 9783039283323

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Remote Sensing for Target Object Detection and Identification by Gemine Vivone,Paolo Addesso,Amanda Ziemann Pdf

Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed.

Author : David Hall,James Llinas
Publisher : CRC Press
Page : 564 pages
File Size : 40,8 Mb
Release : 2001-06-20
Category : Technology & Engineering
ISBN : 9781420038545

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Multisensor Data Fusion by David Hall,James Llinas Pdf

The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

Author : Anthony K. Hyder,E. Shahbazian,E. Waltz
Publisher : Springer Science & Business Media
Page : 929 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401005562

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Multisensor Fusion by Anthony K. Hyder,E. Shahbazian,E. Waltz Pdf

For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.

Author : E. Lefebvre
Publisher : IOS Press
Page : 412 pages
File Size : 43,7 Mb
Release : 2007-05-11
Category : Business & Economics
ISBN : 9781607502326

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Advances and Challenges in Multisensor Data and Information Processing by E. Lefebvre Pdf

Information fusion resulting from multi-source processing, often called multisensor data fusion when sensors are the main sources of information, is a relatively young (less than 20 years) technology domain. It provides techniques and methods for: Integrating data from multiple sources and using the complementarity of this data to derive maximum information about the phenomenon being observed; Analyzing and deriving the meaning of these observations; Selecting the best course of action; and Controlling the actions. Various sensors have been designed to detect some specific phenomena, but not others. Data fusion applications can combine synergically information from many sensors, including data provided by satellites and contextual and encyclopedic knowledge, to provide enhanced ability to detect and recognize anomalies in the environment, compared with conventional means. Data fusion is an integral part of multisensor processing, but it can also be applied to fuse non-sensor information (geopolitical, intelligence, etc.) to provide decision support for a timely and effective situation and threat assessment. One special field of application for data fusion is satellite imagery, which can provide extensive information over a wide area of the electromagnetic spectrum using several types of sensors (Visible, Infra-Red (IR), Thermal IR, Radar, Synthetic Aperture Radar (SAR), Polarimetric SAR (PolSAR), Hyperspectral...). Satellite imagery provides the coverage rate needed to identify and monitor human activities from agricultural practices (land use, crop types identification...) to defence-related surveillance (land/sea target detection and classification). By acquiring remotely sensed imagery over earth regions that land sensors cannot access, valuable information can be gathered for the defence against terrorism. This books deals with the following research areas: Target recognition/classification and tracking; Sensor systems; Image processing; Remote sensing and remote control; Belief functions theory; and Situation assessment.

Author : Anonim
Publisher : Unknown
Page : 252 pages
File Size : 43,9 Mb
Release : 1994
Category : Multisensor data fusion
ISBN : UOM:39015032954011

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Sensor Fusion and Aerospace Applications by Anonim Pdf

Author : Meiping Wu,Yifeng Niu,Mancang Gu,Jin Cheng
Publisher : Springer Nature
Page : 3575 pages
File Size : 48,6 Mb
Release : 2022-03-18
Category : Technology & Engineering
ISBN : 9789811694929

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Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) by Meiping Wu,Yifeng Niu,Mancang Gu,Jin Cheng Pdf

This book includes original, peer-reviewed research papers from the ICAUS 2021, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2021 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.

Author : Xinyu Zhang
Publisher : Springer Nature
Page : 237 pages
File Size : 43,5 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9789819932801

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Multi-sensor Fusion for Autonomous Driving by Xinyu Zhang Pdf

Author : Florentin Smarandache,Yanhui Guo
Publisher : Infinite Study
Page : 411 pages
File Size : 44,5 Mb
Release : 2022-09-01
Category : Mathematics
ISBN : 8210379456XXX

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New Development of Neutrosophic Probability, Neutrosophic Statistics, Neutrosophic Algebraic Structures, and Neutrosophic Plithogenic Optimizations by Florentin Smarandache,Yanhui Guo Pdf

This volume presents state-of-the-art papers on new topics related to neutrosophic theories, such as neutrosophic algebraic structures, neutrosophic triplet algebraic structures, neutrosophic extended triplet algebraic structures, neutrosophic algebraic hyperstructures, neutrosophic triplet algebraic hyperstructures, neutrosophic n-ary algebraic structures, neutrosophic n-ary algebraic hyperstructures, refined neutrosophic algebraic structures, refined neutrosophic algebraic hyperstructures, quadruple neutrosophic algebraic structures, refined quadruple neutrosophic algebraic structures, neutrosophic image processing, neutrosophic image classification, neutrosophic computer vision, neutrosophic machine learning, neutrosophic artificial intelligence, neutrosophic data analytics, neutrosophic deep learning, and neutrosophic symmetry, as well as their applications in the real world.

Author : Anonim
Publisher : Unknown
Page : 516 pages
File Size : 40,9 Mb
Release : 1999
Category : Automatic tracking
ISBN : UOM:39015048109840

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Signal Processing, Sensor Fusion, and Target Recognition by Anonim Pdf

Author : Ivan Kadar
Publisher : Unknown
Page : 600 pages
File Size : 48,7 Mb
Release : 1997
Category : Electronic books
ISBN : OCLC:1127218379

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Signal Processing, Sensor Fusion, and Target Recognition VI. by Ivan Kadar Pdf

Author : Ciza Thomas
Publisher : BoD – Books on Demand
Page : 498 pages
File Size : 52,7 Mb
Release : 2010-08-16
Category : Computers
ISBN : 9789533071015

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Sensor Fusion and its Applications by Ciza Thomas Pdf

This book aims to explore the latest practices and research works in the area of sensor fusion. The book intends to provide a collection of novel ideas, theories, and solutions related to the research areas in the field of sensor fusion. This book is a unique, comprehensive, and up-to-date resource for sensor fusion systems designers. This book is appropriate for use as an upper division undergraduate or graduate level text book. It should also be of interest to researchers, who need to process and interpret the sensor data in most scientific and engineering fields. The initial chapters in this book provide a general overview of sensor fusion. The later chapters focus mostly on the applications of sensor fusion. Much of this work has been published in refereed journals and conference proceedings and these papers have been modified and edited for content and style. With contributions from the world's leading fusion researchers and academicians, this book has 22 chapters covering the fundamental theory and cutting-edge developments that are driving this field.

Author : Jason C. Hung,Neil Yen,Jia-Wei Chang
Publisher : Springer Nature
Page : 498 pages
File Size : 42,7 Mb
Release : 2024-02-21
Category : Technology & Engineering
ISBN : 9789819992997

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Frontier Computing on Industrial Applications Volume 1 by Jason C. Hung,Neil Yen,Jia-Wei Chang Pdf

This book gathers the proceedings of the 13th International Conference on Frontier Computing, held in Tokyo, on July 10–13, 2023, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, Web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, Web and Internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book benefits students, researchers, and professionals alike. Further, it offers a useful reference guide for newcomers to the field.