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@Article{BragaDalLSten:2013:PsChMo,
               author = "Braga, C. R. and Dal Lago, Alisson and Stenborg, G.",
          affiliation = "National Institute for Space Research-INPE, Av. dos Astronautas, 
                         1758, Sao Jose dos Campos, SP, Brazil and National Institute for 
                         Space Research-INPE, Av. dos Astronautas, 1758, Sao Jose dos 
                         Campos, SP, Brazil and School of Physics, Astronomy and 
                         Computational Sciences, George Mason University, Fairfax, VA 
                         22030, United States",
                title = "Pseudo-automatic characterization of the morphological and 
                         kinematical properties of coronal mass ejections using a 
                         texture-based technique",
              journal = "Advances in Space Research",
                 year = "2013",
               volume = "51",
               number = "10",
                pages = "1949--1965",
             keywords = "Automatic computations, Coronal mass ejection, CORSET, Detection 
                         and tracking, Kinematic characterization, Kinematic properties, 
                         Segmentation techniques, Supervised segmentation, Automation, 
                         Characterization, Kinematics, Textures, Parameter estimation.",
             abstract = "The white light coronagraphs onboard SOHO (LASCO-C2 and -C3) and 
                         most recently STEREO (SECCHI -COR1 and -COR2) have detected a 
                         myriad of coronal mass ejections (CME). They are a key component 
                         of space weather and under certain conditions they can become 
                         geo-effective, hence the importance of their kinematic 
                         characterization to help predict their effects. However, there is 
                         still a lot of debate on how to define the event boundaries for 
                         space weather purposes, which in turn makes it difficult to agree 
                         on their kinematic properties. That lack of agreement is reflected 
                         in both the manual and automated CME catalogs in existence. To 
                         contribute to a more objective definition and characterization of 
                         white-light coronagraph events, Goussies et al. (2010) introduced 
                         recently the concept of {"}texture of the event{"}. Based on that 
                         property, they developed a supervised segmentation algorithm to 
                         allow the automatic tracking of dynamic events observed in the 
                         coronagraphs field of view, which is called CORonal SEgmentation 
                         Technique (CORSET). In this work, we have enhanced the 
                         capabilities of the algorithm by adding several new 
                         functionalities, namely the automatic computation of different 
                         morphological and kinematic parameters. We tested its performance 
                         on 57 well-studied limb CME events observed with the LASCO 
                         coronagraphs between 1997 and 2001, and compared the parameters 
                         obtained with those from three existent CME lists: two of them 
                         obtained from an observer-based detection and tracking method 
                         (i.e.; two manual catalogs), and the other one based on the 
                         automated detection and characterization of the CME events (i.e.; 
                         a fully automated catalog). We found that 51 events could be 
                         tracked and quantified in agreement with the CME definition. In 
                         general terms, the position angle, and the radial and expansion 
                         speeds are in agreement with the manual catalogs used for 
                         comparison. On the other hand, some discrepancies between CORSET 
                         and the automated catalog were found, which can be explained by 
                         the different delimitation of the CME angular extent.",
                  doi = "10.1016/j.asr.2012.05.009",
                  url = "http://dx.doi.org/10.1016/j.asr.2012.05.009",
                 issn = "0273-1177",
                label = "scopus",
             language = "en",
           targetfile = "1-s2.0-S0273117712003195-main.pdf",
        urlaccessdate = "18 jan. 2021"
}


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