Multi-sensor integration management in the earth observation sensor web: State-of-the-art and research challenges

被引:2
|
作者
Zhang, Yunbo [1 ]
Li, Jie [2 ]
Duan, Mu [1 ]
Chen, Wenjie [1 ]
del Rio, Joaquin [3 ]
Zhang, Xiang [1 ,4 ]
Wang, Ke [1 ]
Liang, Steve H. L. [5 ]
Chen, Zeqiang [1 ,4 ]
Chen, Nengcheng [1 ,4 ,6 ]
Hu, Chuli [1 ]
机构
[1] China Univ Geosci Wuhan, Natl Engn Res Ctr Geog Informat Syst, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
[2] China Univ Geosci Wuhan, Sch Comp Sci, Wuhan 430074, Peoples R China
[3] Univ Politecn Cataluna, Elect Dept, SARTI Res Grp, Barcelona 08800, Spain
[4] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
[5] Univ Calgary, Dept Geomat Engn, Calgary, AB T2N1N4, Canada
[6] Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
Earth observation sensor web; Sensor management; Sensor representation; Sensor discovery; Sensor evaluation; Sensor collaboration; NEXT-GENERATION; DISCOVERY; MODEL; INTERNET; SPACE; INFRASTRUCTURE; ARCHITECTURE; SATELLITES; PROGRESS; SERVICES;
D O I
10.1016/j.jag.2023.103601
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Significant advancements in Earth Observation (EO) technologies, encompassing global remote sensing and environment sensor networks, have greatly progressed the field of earth science. The management of EO sensors is crucial in collecting effective and changing EO data in real-time. Over the past few decades, Sensor Management (SM) and Multi-Sensor Management (MSM) have been extensively applied to EO research and reviewed in previous studies. The demands for EO have become highly complex with the advent of the EO sensor web era, necessitating Multi-Sensor Integration Management (MSIM), which is an advanced development of MSM. The concept of MSIM and its methods have been discussed worldwide, and the prototypes have exhibited remarkable potential for EO applications. However, MSIM is yet to be reviewed for a long time. This work provides a detailed overview of the emergence of MSIM and specifies its four key methods. This work also examines the typical MSIM prototypes and applications in EO. Then, this work identifies four future directions of MSIM in EO research. This review concludes that MSIM has emerged as a novel and indispensable sensor management paradigm set to play a significant role in the advancement of earth science research and practical applications in the future.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
    Gravina, Raffaele
    Alinia, Parastoo
    Ghasemzadeh, Hassan
    Fortino, Giancarlo
    [J]. INFORMATION FUSION, 2017, 35 : 68 - 80
  • [2] Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
    Qiu, Sen
    Zhao, Hongkai
    Jiang, Nan
    Wang, Zhelong
    Liu, Long
    An, Yi
    Zhao, Hongyu
    Miao, Xin
    Liu, Ruichen
    Fortino, Giancarlo
    [J]. INFORMATION FUSION, 2022, 80 : 241 - 265
  • [3] Learning State Switching for Multi-sensor Integration
    Saha, Homagni
    Tan, Sin Yong
    Jiang, Zhanhong
    Sarkar, Soumik
    [J]. 2019 SIXTH INDIAN CONTROL CONFERENCE (ICC), 2019, : 232 - 237
  • [4] Query processing for mobile wireless sensor networks: State-of-the-art and research challenges
    He, Yingjie
    Tully, Alan
    [J]. 2008 3RD INTERNATIONAL SYMPOSIUM ON WIRELESS PERVASIVE COMPUTING, VOLS 1-2, 2008, : 518 - 523
  • [5] Integration of Multi-Sensor for Modern Mobile Waqf Management
    Musliman, Ivin Amri
    Musa, Tajul Ariffin
    Omar, Abdullah Hisam
    Omar, Kamaludin
    [J]. INNOVATION MANAGEMENT AND SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE: FROM REGIONAL DEVELOPMENT TO GLOBAL GROWTH, VOLS I - VI, 2015, 2015, : 4091 - 4100
  • [6] The RapidMapper: State-of-the-art in mobile proximal soil sensing based on a novel multi-sensor platform
    Tavakoli, Hamed
    Correa, Jose
    Vogel, Sebastian
    Oertel, Marcel
    Zimne, Marc
    Heisig, Michael
    Harder, Anatolij
    Wruck, Robert
    Patzold, Stefan
    Leenen, Matthias
    Gebbers, Robin
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 226
  • [7] MULTI-DISCIPLINARY INTEROPERABILITY FOR EARTH OBSERVATION SENSOR WEB
    Mazzetti, Paolo
    Nativi, Stefano
    [J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 3939 - 3942
  • [8] Mobility Management for Wireless Sensor Networks A State-of-the-Art
    Achour, Amel
    Deru, Laurent
    Deprez, Jean Christophe
    [J]. 6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015), 2015, 52 : 1101 - 1107
  • [9] Research on distributed measure system based on multi-sensor integration
    Long, Y
    Huang, XX
    Zhang, ZL
    Yuan, J
    [J]. ICEMI 2005: CONFERENCE PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL 3, 2005, : 128 - 133
  • [10] Research on the Key Technologies of Multi-sensor Integration and Information Fusion
    He, Y. G.
    [J]. INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENVIRONMENTAL ENGINEERING (CSEE 2015), 2015, : 1235 - 1241