Research output per year
Research output per year
Personal profile
Education
1997 Ph.D., Ohio State University
1990 M.S., Ohio State University
1988 M.E., Ohio State University
1982 B.S., Yonsei University
1990 M.S., Ohio State University
1988 M.E., Ohio State University
1982 B.S., Yonsei University
Professional Experience
• (1998.01-2000.02) Ohio State University Senior researcher
Research Interests
• LiDAR data processing
• Digital topographic mapping
• Digital photogrammetry
• Deep learning for 3D building modeling
• Digital topographic mapping
• Digital photogrammetry
• Deep learning for 3D building modeling
Major Research Achievements
• High resolution satellite image: 3D surface modeling using high-resolution satellite stereo imagery
• Airborne LiDAR: Automateic building modeling using laser scanner system
• Intelligence digital mapping: User oriented digital mapping system design
• UAV for aerial surveying accuracy test: Accuracy standards for digital mapping and map updating
• Airborne LiDAR: Automateic building modeling using laser scanner system
• Intelligence digital mapping: User oriented digital mapping system design
• UAV for aerial surveying accuracy test: Accuracy standards for digital mapping and map updating
URL
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Dong Cheon Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Semantic Segmentation and Building Extraction from Airborne LiDAR Data with Multiple Return Using PointNet++
Shin, Y. H., Son, K. W. & Lee, D. C., 1 Feb 2022, In: Applied Sciences (Switzerland). 12, 4, 1975.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Training Performance Analysis of Semantic Segmentation Deep Learning Model by Progressive Combining Multi-modal Spatial Information Datasets
Lee, D. G., Shin, Y. H. & Lee, D. C., 2022, In: Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 40, 2, p. 91-108 18 p.Research output: Contribution to journal › Article › peer-review
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True Orthoimage Generation Using Airborne LiDAR Data with Generative Adversarial Network-Based Deep Learning Model
Shin, Y. H. & Lee, D. C., 2021, In: Journal of Sensors. 2021, 4304548.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
드론 열적외선 영상을 이용한 3차원 열공간 모델링
Translated title of the contribution :3D thermo-spatial modeling using drone thermal infrared images Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Building detection by convolutional neural network with infrared image, LiDAR data and characteristic information fusion
Cho, E. J. & Lee, D. C., 2020, In: Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 38, 6, p. 635-644 10 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations