Myoung-jong Noh
Senior Research Associate
Dublin, Ohio, United States
Summary
👤
Senior🎓
Top SchoolMyoung-jong Noh is a Senior Research Associate and remote sensing expert with nine years of experience developing automated DEM/DSM generation, co-registration, and change-monitoring workflows for airborne, satellite, and UAV data. He led algorithm development for SETSM and contributed to high-profile NSF projects including REMA and ArcticDEM, delivering high-resolution, time-stamped elevation models for polar science. Proficient in C++, Visual C++, and Matlab, he pairs strong software engineering with deep domain knowledge of photogrammetry, LiDAR processing, and sensor modeling across commercial toolchains like SOCET SET, ENVI, and ArcGIS. His work has been recognized with NSF grants, HPC and innovation awards, and peer-reviewed breakthroughs on TIN-based search-space minimization for surface extraction. Based in Dublin, Ohio, he blends academic rigor (PhD in GIS/Cartography) with production-scale geospatial systems that underpin large-scale polar mapping efforts.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Photogrammetry, Master of Engineering - MEng, Photogrammetry at Inha University 인하대학교Doctor of Philosophy - PhD, Geographic Information Science and Cartography, Doctor of Philosophy - PhD, Geographic Information Science and Cartography at Inha University
Korean, English
Github Skills (10)
surface10
satellite9
landsat9
deriving9
imagery9
extraction9
terrain9
satellite-imagery9
google-earth-engine9
change-detection8
Programming languages (1)
Github contributions (1)
setsmdeveloper/SETSM
Feb 2017 - Dec 2018
The Surface Extraction from TIN-based Searchspace Minimization (SETSM) software is a fully automatic algorithm for deriving Digital Terrain Models (DTM) from pairs of satellite imagery.
Contributions:14 releases, 19 commits, 1 PR in 1 year 10 months
minimizationdtmextractionsatellite-imagerysatellite
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