Hunsoo Song

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Convolutional Neural Network

Semantic Segmentation

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

SuMob@SIGSPATIAL

Publications

Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing. CoRR (2024)
Hunsoo Song, Jinha Jung
An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne LiDAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Hunsoo Song, Jinha Jung
A Fully Automated and Scalable Surface Water Mapping with Topographic Airborne LiDAR Data. CoRR (2023)
Hunsoo Song, Joshua Carpenter, Jon E. Froehlich, Jinha Jung
Accessible Area Mapper for Inclusive and Sustainable Urban Mobility: A Preliminary Investigation of Airborne Point Clouds for Pathway Analysis. SuMob@SIGSPATIAL (2023)
Hunsoo Song, Hsiuhan Lexie Yang, Jinha Jung
Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Hunsoo Song, Jinha Jung
An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation. Remote. Sens. 15 (16) (2023)
Hunsoo Song, Gaia Cervini, Jinha Jung
Assessment of Local Climate Zone Products via Simplified Classification Rule with 3D Building Maps. CoRR (2023)
Hunsoo Song, Gaia Cervini, Jinha Jung
Assessment of Local Climate Zone Products Via Simplified Classification Rule with 3D Building Maps. IGARSS (2023)
Hunsoo Song, Jinha Jung
A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually. CoRR (2022)
Hunsoo Song, Jinha Jung
Towards an unsupervised large-scale 2D and 3D building mapping with LiDAR. CoRR (2022)
Hunsoo Song, Jinha Jung
Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics. SIGSPATIAL/GIS (2022)
Minho Kim, Hunsoo Song, Yongil Kim
Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network. Remote. Sens. 12 (15) (2020)
Hunsoo Song, Yongil Kim
Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling. JURSE (2019)
Hunsoo Song, Yonghyun Kim, Yongil Kim
A Patch-Based Light Convolutional Neural Network for Land-Cover Mapping Using Landsat-8 Images. Remote. Sens. 11 (2) (2019)