Automated Algorithm for Removing Clutter Objects in MMS Point Cloud for 3D Road Mapping. - Ji-Sang Lee; Suhong Yoo; Seunghwan Hong; Mohammad Gholami Farkoushi; Junsu Bae; Ilsuk Park; Hong-Gyoo Sohn (Sensors, 2020)

Feature Matching Combining Radiometric and Geometric Characteristics of Images, Applied to Oblique- and Nadir-Looking Visible and TIR Sensors of UAV Imagery. - Hyo-Seon Jang; Sangkyun Kim; Suhong Yoo; Soohee Han; Hong-Gyoo Sohn (Sensors, 2021)

Distant object localization with a single image obtained from a smartphone in an urban environment. - Ji-Sang Lee; Hyunjoo Ho; Suhong Yoo; Youngmok Kwon; Hong-Gyoo Sohn (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Automatic generation of land use maps using aerial orthoimages and building floor data with a Conv-Depth Block (CDB) ResU-Net architecture. - Suhong Yoo; Ji-Sang Lee; Mohammad Gholami Farkoushi; Eunkwan Lee; Hong-Gyoo Sohn (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Coarse Alignment Methodology of Point Cloud Based on Camera Position/Orientation Estimation Model. - Suhong Yoo; Namhoon Kim (J. Imaging, 2023)

Automatic levee surface extraction from mobile LiDAR data using directional equalization and projection clustering. - Ji-Sang Lee; Suhong Yoo; Cheolhwan Kim; Hong-Gyoo Sohn (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Instance-Based Clustering of Road Markings with Wear and Occlusion from Mobile Lidar Data. - Jaehoon Jung; Erzhuo Che; Michael J. Olsen; Christopher E. Parrish; Yelda Turkan; Suhong Yoo (J. Comput. Civ. Eng., 2024)