연구동향 분석

가우시안 군집분석을 이용한 천리안 위성의 대기운동벡터 표적추적 알고리듬 개발 및 분석

오유림 ( Yu Rim Oh ) 김재환 ( Jae Hwan Kim ) 박형민 ( Hyung Min Park ) 백강현 ( Kang Hyun Baek ) 2015년

논문상세정보
인용/피인용
' 가우시안 군집분석을 이용한 천리안 위성의 대기운동벡터 표적추적 알고리듬 개발 및 분석' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • atmospheric motion vector
  • coms
  • gaussian mixture model
  • target search
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
82 0

0.0%

' 가우시안 군집분석을 이용한 천리안 위성의 대기운동벡터 표적추적 알고리듬 개발 및 분석' 의 참고문헌

  • 정지기상위성자료를 이용한 중규모 바람장 산출 알고리즘 최적화
    김소명 대기 22 (1) : 1 ~ 12 [2012]
  • Topic discovery of clusters from documents with geographical location
    Zhang, L. Concurrency and Computation: Practice and Experience [2015]
  • The utilization of statistical properties of satellite-derived atmospheric motion vectors to derive quality indicators
    Holmlund, K. Weather and Forecasting 13 (4) : 1093 ~ 1104 [1998]
  • Synoptic use of radiation measurements from satellite TIROS II 1
    Fritz, S. Monthly Weather Review 90 (1) : 1 ~ 9 [1962]
  • Study of the target selection methods for amv derivation of GEO-KOMPSAT-2A
    Kim, T.M. Proc. of 2014 International Winds Working Group, Copenhagen, Denmark [2014]
  • Statistics, Third Edition
    Kim, D.H. Freeacademy [2008]
  • Sensitivity of satellite-derived wind retrieval over cloudy scenes to target selection in tracking and pixel selection in height assignment
    Park, J.H. Geoscience and Remote Sensing, IEEE Transactions on 50 (5) : 2063 ~ 2073 [2012]
  • Recent status and development of atmospheric motion vectors at JMA
    Masahiro, H. Proc. of 2012 International Wind Workshop, Auckland, New Zealand [2012]
  • Preliminary assessment of the Advanced Himawari Imager (AHI) measurement onboard Himawari-8 geostationary satellite
    Da, Cheng Remote Sensing Letters 6 (8) : 637 ~ 646 [2015]
  • Operational cloud-motion winds from Meteosat infrared images
    Schmetz, J. Journal of applied meteorology 32 (7) : 1206 ~ 1225 [1993]
  • New methods toward minimizing the slow speed bias associated with atmospheric motion vectors
    Bresky, W.C. Journal of Applied Meteorology and Climatology 51 (12) : 2137 ~ 2151 [2012]
  • Investigations of cross-correlation and euclidian distance target matching techniques in the mpef environment
    Dew, G. Proc. of 2000 International Wind Workshop, Lorne, Australia [2000]
  • Introduction to Pattern Recognition
    Han, H.Y. HanbitMedia [2014]
  • Introduction of the inorbit test and its performance for the first meteorological imager of the Communication, Ocean, and Meteorological Satellite
    Kim, D.H. Atmospheric Measurement Techniques 7 (8) : 2471 ~ 2485 [2014]
  • Impact of MODIS atmospheric motion vectors on a global NWP system
    Le Marshall, J Australian Meteorological Magazine 57 (1) : 45 ~ [2008]
  • Identifying the uncertainty in determining satellite-derived atmospheric motion vector height attribution
    Velden, C.S. Journal of Applied Meteorology and Climatology 48 (3) : 450 ~ 463 [2009]
  • Height assignment improvement in Kalpana-1atmospheric motion vectors
    Deb, S.K. Journal of the Indian Society of Remote Sensing 42 (4) : 679 ~ 687 [2014]
  • Global atmospheric motion vector inter-comparison study
    Genkova, I. Proc. of 2008 International Wind Workshop, Maryland, USA [2008]
  • Entrainment in cumulus clouds
    Blyth, A.M. Journal of applied meteorology 32 (4) : 626 ~ 641 [1993]
  • Entrainment and detrainment in cumulus convection: an overview
    De Rooy, W.C. Quarterly Journal of the Royal Meteorological Society 139 (670) : 1 ~ 19 [2013]
  • Earth and environmental remote sensing community in South Korea: A review
    Choi, Y.S. Remote Sensing Applications: Society and Environment [2015]
  • EM algorithms for Gaussian mixtures with split-andmerge operation
    Zhang, Z. Pattern recognition 36 (9) : 1973 ~ 1983 [2003]
  • Development of Meteorological Data Processing System for Communication, Ocean and Meteorological Satellite
  • Current status of COMS AMV in NMSC/KMA
    Sohn, E.H. Proc. of 2012 International Winds Working Group, Auckland, New Zealand : 16 ~ 20 [2012]
  • Current status of AMV system at KMA
    Sohn, E.H. Proc. of 2006International Winds Working Group, Beijing, China [2006]
  • Comparisons of satellite-derived atmospheric motion vectors, rawinsondes, and NOAA Wind Profiler observations
    Bedka, K.M. Journal of Applied Meteorology and Climatology 48 (8) : 1542 ~ 1561 [2009]
  • Cloud tracking with satellite imagery: From the pioneering work of Ted Fujita to the present
    Menzel, W.P. Bulletin of the American Meteorological Society 82 (1) : 33 ~ 47 [2001]
  • Application of satellite-derived atmospheric motion vectors for estimating mesoscale flows
    Bedka, K.M. Journal of Applied Meteorology 44 (11) : 1761 ~ 1772 [2005]
  • Advances in Artificial Intelligence
    Bigdeli, E Springer International Publishing : 264 ~ 272 [2015]
  • A direct link between feature tracking and height assignment of operational atmospheric motion vectors
    Borde, R. Proc. of 2008 International Wind Workshop, Maryland, USA : 14 ~ 18 [2008]
  • A direct link between feature tracking and height assignment of operational EUMETSAT atmospheric motion vectors
    Borde, R. Journal of Atmospheric and Oceanic Technology 31 (1) : 33 ~ 46 [2014]