Hunsoo Song
Orcid: 0000-0001-6899-6770
According to our database1,
Hunsoo Song
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
Cadastral-to-Agricultural: A Study on the Feasibility of Using Cadastral Parcels for Agricultural Land Parcel Delineation.
Remote. Sens., October, 2024
An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne LiDAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Efficient Extraction Of Building Elevation Attributes For Flood Risk Management Using Airborne LiDAR Data.
Proceedings of the IGARSS 2024, 2024
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing.
Proceedings of the IGARSS 2024, 2024
2023
An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation.
Remote. Sens., August, 2023
Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
A Fully Automated and Scalable Surface Water Mapping with Topographic Airborne LiDAR Data.
CoRR, 2023
Accessible Area Mapper for Inclusive and Sustainable Urban Mobility: A Preliminary Investigation of Airborne Point Clouds for Pathway Analysis.
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.
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.
CoRR, 2022
CoRR, 2022
Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics.
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.
Remote. Sens., 2020
2019
A Patch-Based Light Convolutional Neural Network for Land-Cover Mapping Using Landsat-8 Images.
Remote. Sens., 2019
Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling.
Proceedings of the Joint Urban Remote Sensing Event, 2019