官方网站:http://www.journals.elsevier.com/information-fusion/
投稿网址:http://ees.elsevier.com/inffus/
The journal is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source, multi-process information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. The journal is the premier vehicle for disseminating information on all aspects of research and development in the field of information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome. The journal publishes original papers, letters to the Editors and from time to time invited review articles, in all areas related to the information fusion arena including, but not limited to, the following suggested topics:? Data/Image, Feature, Decision, and Multilevel Fusion? Multi-classifier/Decision Systems? Multi-Look Temporal Fusion? Multi-Sensor, Multi-Source Fusion System Architectures? Distributed and Wireless Sensor Networks? Higher Level Fusion Topics Including Situation Awareness And Management? Multi-Sensor Management and Real-Time Applications? Adaptive And Self-Improving Fusion System Architectures? Active, Passive, And Mixed Sensor Suites? Multi-Sensor And Distributed Sensor System Design? Fusion Learning In Imperfect, Imprecise And Incomplete Environments? Intelligent Techniques For Fusion Processing? Fusion System Design And Algorithmic Issues? Fusion System Computational Resources and Demands Optimization? Special Purpose Hardware Dedicated To Fusion Applications? Mining Remotely Sensed Multi-Spectral/Hyper-Spectral Image Data Bases? Information Fusion Applications in Intrusion Detection, Network Security, Information Security and Assurance arena? Applications such as Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems? Real-World Issues such as Computational Demands, Real-Time Constraints in the context of Fusion systems.
该杂志旨在在一个单一的论坛内介绍多传感器、多源、多进程信息融合领域的所有发展,从而促进促进促进其发展的许多学科之间的协同作用。该杂志是传播信息融合领域研究和发展各个方面信息的主要媒介。文章将强调三个方面中的一个或多个:体系结构、算法和应用程序。本文涉及的基础理论分析以及那些证明其应用于现实问题将受到欢迎。该期刊在所有与信息融合领域相关的领域,包括但不限于以下建议主题,出版原稿、致编辑的信函以及不时邀请的评论文章:?数据/图像、特征、决策和多级融合?多分类器/决策系统?多视时间融合?多传感器、多源融合系统架构?分布式和无线传感器网络?更高层次的融合主题,包括态势感知和管理?多传感器管理和实时应用?自适应和自我改进的融合系统架构?主动、被动和混合传感器套件?多传感器和分布式传感器系统设计?在不完善、不精确和不完整的环境中进行融合学习?融合处理智能技术?融合系统设计和算法问题?融合系统计算资源和需求优化?专用于融合应用的专用硬件?挖掘遥感多光谱/超光谱图像数据库?信息融合在入侵检测、网络安全、信息安全和保障领域的应用?机器人、空间、生物医疗、交通、经济和金融信息系统等应用?现实世界问题,如计算需求、融合系统背景下的实时约束。
大类学科 | 分区 | 小类学科 | 分区 | Top期刊 | 综述期刊 |
计算机科学 | 1区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法 | 1区 1区 | 是 | 否 |
JCR分区等级 | JCR所属学科 | 分区 | 影响因子 |
Q1 | COMPUTER SCIENCE, THEORY & METHODS | Q1 | 17.564 |
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q1 |
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