Hunsoo Song

According to our database, Hunsoo Song authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne LiDAR Data.

Hunsoo Song, Jinha Jung

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation.

Hunsoo Song, Jinha Jung

Remote. Sens., August, 2023

Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels.

Hunsoo Song, Hsiuhan Lexie Yang, Jinha Jung

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A Fully Automated and Scalable Surface Water Mapping with Topographic Airborne LiDAR Data.

Hunsoo Song, Jinha Jung

CoRR, 2023

Accessible Area Mapper for Inclusive and Sustainable Urban Mobility: A Preliminary Investigation of Airborne Point Clouds for Pathway Analysis.

Hunsoo Song, Joshua Carpenter, Jon E. Froehlich, Jinha Jung

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility, 2023

Assessment of Local Climate Zone Products Via Simplified Classification Rule with 3D Building Maps.

Hunsoo Song, Gaia Cervini, Jinha Jung

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually.

Hunsoo Song, Jinha Jung

CoRR, 2022

Towards an unsupervised large-scale 2D and 3D building mapping with LiDAR.

Hunsoo Song, Jinha Jung

CoRR, 2022

Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics.

Hunsoo Song, Jinha Jung

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2020

Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network.

Minho Kim, Hunsoo Song, Yongil Kim

Remote. Sens., 2020

2019

A Patch-Based Light Convolutional Neural Network for Land-Cover Mapping Using Landsat-8 Images.

Hunsoo Song, Yonghyun Kim, Yongil Kim

Remote. Sens., 2019

Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling.

Hunsoo Song, Yongil Kim

Proceedings of the Joint Urban Remote Sensing Event, 2019