Towards Chl-a Bloom Understanding by EM-based Unsupervised Event Detection

被引:0
|
作者
Poisson Caillault, Emilie [1 ,2 ]
Lefebvre, Alain [2 ]
机构
[1] Univ Littoral Cote dOpale, LISIC, EA 4491, F-62228 Calais, France
[2] IFREMER, LER BL, F-62321 Boulogne Sur Mer, France
来源
OCEANS 2017 - ABERDEEN | 2017年
关键词
Time series; Event detection; Expectation-Maximisation; Phenology; Chlorophyll-a; Phaeocystis; NORTH-SEA;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Marine water quality monitoring and subsequent management require to know when a specific event like harmful algae bloom may occur and which environmental conditions and pressures lead to this event. So, event detection and its dynamic understanding are crucial to adapt strategy. An algorithm is proposed to identify curves mixture and their dynamics features - initiation, duration, peaks and ends of the event. The approach is fully unsupervised, it requires no tuning parameters and is based on Expectation Maximization process to estimate the most robust mixture according to fixed criteria. A complete framework is proposed to deal with a univariate time series with missing data. The approach is applied on Chlorophyll- a series collected weekly since 1989. Chlorophyll-a is a proxy of the phytoplankton biomass. The results are promising according to the phytoplankton composition knowledge, collected at lower frequency, and allowing to discuss about the annual variability of phytoplankton dynamics.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] EM-Based on-Chip Aging Sensor for Detection and Prevention of Counterfeit and Recycled ICs
    He, Kai
    Huang, Xin
    Tan, Sheldon X. -D.
    2015 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD), 2015, : 146 - 151
  • [22] EM-Based Joint Channel Estimation and Data Detection for MIMO-CDMA Systems
    Assra, Ayman
    Hamouda, Walaa
    Youssef, Amr
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (03) : 1205 - 1216
  • [23] AN UNSUPERVISED LEARNING BASED APPROACH FOR UNEXPECTED EVENT DETECTION
    Luvison, Bertrand
    Chateau, Thierry
    Sayd, Patrick
    Pham, Quoc-Cuong
    Lapreste, Jean-Thierry
    VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1, 2009, : 506 - +
  • [24] Towards Understanding Alerts raised by Unsupervised Network Intrusion Detection Systems
    Lanvin, Maxime
    Gimenez, Pierre-Francois
    Han, Yufei
    Majorczyk, Frederic
    Me, Ludovic
    Totel, Eric
    PROCEEDINGS OF THE 26TH INTERNATIONAL SYMPOSIUM ON RESEARCH IN ATTACKS, INTRUSIONS AND DEFENSES, RAID 2023, 2023, : 135 - 150
  • [25] EM-based sequential detection for mixed mode Ricean/Rayleigh fading channels with unresolved delays
    Chen, Y
    Danilo-Lemoine, F
    VTC2004-SPRING: 2004 IEEE 59TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, PROCEEDINGS, 2004, : 495 - 499
  • [26] EM-based Phoneme Confusion Matrix Generation for Low-resource Spoken Term Detection
    Xu, Di
    Wang, Yun
    Metze, Florian
    2014 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY SLT 2014, 2014, : 424 - 429
  • [27] EM-Based Multi-User Detection for STBC-MC-CDMA Communication Systems
    Mehrkam, M.
    Asli, A. Zolghadr
    2009 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS, 2009, : 313 - 318
  • [28] Towards the Idea of Agricultural Market Understanding for Automatic Event Detection
    Kliangkhlao, Mallika
    Limsiroratana, Somchai
    2019 8TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2019), 2019, : 81 - 86
  • [29] Towards Comprehensive Understanding of Event Detection and Video Summarization Approaches
    Kalaivani, P.
    Roomi, Mohamed Mansoor S.
    2017 SECOND INTERNATIONAL CONFERENCE ON RECENT TRENDS AND CHALLENGES IN COMPUTATIONAL MODELS (ICRTCCM), 2017, : 61 - 66
  • [30] EM-Based MAP channel estimation and data detection for downlink MCC-CDMA systems
    Dogan, Hakan
    Panayirci, Erdal
    Cirpan, Hakan A.
    2007 IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-9, 2007, : 227 - +