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Sanggyun Lee
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2010 – 2019
- 2019
- [j3]Daehyeon Han
, Juhyun Lee, Jungho Im
, Seongmun Sim
, Sanggyun Lee, Hyangsun Han
:
A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data. Remote. Sens. 11(12): 1454 (2019) - 2016
- [j2]Sanggyun Lee, Jungho Im
, Jinwoo Kim, Miae Kim
, Minso Shin, Hyun-Cheol Kim
, Lindi J. Quackenbush:
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection. Remote. Sens. 8(9): 698 (2016) - 2015
- [j1]Hyangsun Han
, Sanggyun Lee, Jungho Im
, Miae Kim
, Myong-In Lee
, Myoung Hwan Ahn, Sung-Rae Chung:
Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches. Remote. Sens. 7(7): 9184-9204 (2015) - [c5]Sanggyun Lee, Jungho Im, Myong-In Lee
:
The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation. IGARSS 2015: 2214-2217 - 2014
- [c4]Dong Sik Kim, Eun Kim, Sanggyun Lee:
Performance analysis of the gain correction in radiography imaging. ICIP 2014: 3641-3645 - 2012
- [c3]Dong Sik Kim, Sanggyun Lee:
Slope detector for determination of the ringing artifact in filtering x-ray images. ICASSP 2012: 713-716 - 2011
- [c2]Dong Sik Kim, Sanggyun Lee:
Adaptive grid pattern artifact reduction in radiography imaging based on the significant-signal bandwidth. ICIP 2011: 1473-1476 - 2010
- [c1]Dong Sik Kim, Sanggyun Lee:
Grid artifact reduction in radiography with arctan(1/2)-degree rotated grid. ICIP 2010: 1957-1960
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