Hunsoo Song

发表

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

Jinha Jung, Hunsoo Song, 2022, ArXiv.

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

Jinha Jung, Hunsoo Song, 2022, Remote. Sens..

T OWARDS AN UNSUPERVISED LARGE - SCALE 2D AND 3D BUILDING MAPPING WITH AIRBORNE L I DAR DATA

Jinha Jung, Hunsoo Song, 2022 .

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

Jinha Jung, Hunsoo Song, 2022, 2205.14585.

Short-Term Forecasting of Photovoltaic Power Integrating Multi-Temporal Meteorological Satellite Imagery in Deep Neural Network

Minho Kim, Yongil Kim, Hunsoo Song, 2019, 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

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

Jinha Jung, Hunsoo Song, 2023, ArXiv.

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

Jinha Jung, Hunsoo Song, Lexie Yang, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Yonghyun Kim, Yongil Kim, Hunsoo Song, 2019, Remote. Sens..

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

Yongil Kim, Minho Kim, Hunsoo Song, 2020, Remote. Sens..

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

Jinha Jung, Hunsoo Song, 2023, ArXiv.

Reshaping urban landscape factorization through 3D landscape clustering for urban temperature studies

A. Shreevastava, Hunsoo Song, Gaia Cervini, 2024, Sustainable Cities and Society.