| A patch-based light convolutional neural network for land-cover mapping using Landsat-8 images H Song, Y Kim, Y Kim Remote Sensing 11 (2), 114, 2019 | 47 | 2019 |
| Direct short-term forecast of photovoltaic power through a comparative study between COMS and Himawari-8 meteorological satellite images in a deep neural network M Kim, H Song, Y Kim Remote Sensing 12 (15), 2357, 2020 | 9 | 2020 |
| Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics H Song, J Jung Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 8 | 2022 |
| Scalable surface water mapping up to fine-scale using geometric features of water from topographic airborne LiDAR data H Song, J Jung arXiv preprint arXiv:2301.06567, 2023 | 5* | 2023 |
| Self-filtered learning for semantic segmentation of buildings in remote sensing imagery with noisy labels H Song, L Yang, J Jung IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 5 | 2022 |
| An unsupervised, open-source workflow for 2D and 3D building mapping from airborne LiDAR data H Song, J Jung IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 4 | 2023 |
| An object-based ground filtering of airborne lidar data for large-area dtm generation H Song, J Jung Remote Sensing 15 (16), 4105, 2023 | 4 | 2023 |
| Towards an unsupervised large-scale 2d and 3d building mapping with lidar H Song, J Jung arXiv preprint arXiv:2205.14585, 2022 | 3 | 2022 |
| Assessment of local climate zone products via simplified classification rule with 3d building maps H Song, G Cervini, J Jung IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 2 | 2023 |
| A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually H Song, J Jung arXiv preprint arXiv:2208.11243, 2022 | 2 | 2022 |
| Short-Term Forecasting of Photovoltaic Power Integrating Multi-Temporal Meteorological Satellite Imagery in Deep Neural Network H Song, G Kim, M Kim, Y Kim 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, 2019 | 2 | 2019 |
| Multimodal Merging of Satellite Imagery with Meteorological and Power Plant Data in Deep Convolutional Neural Network for Short-Term Solar Energy Prediction G Kim, H Song, M Kim, Y Kim Proceedings of the 40th Asian Conference on Remote Sensing, 2019 | 2 | 2019 |
| Accessible area mapper for inclusive and sustainable urban mobility: A preliminary investigation of airborne point clouds for pathway analysis H Song, J Carpenter, JE Froehlich, J Jung Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable …, 2023 | 1 | 2023 |
| AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing C Liu, H Song, A Shreevastava, CM Albrecht arXiv preprint arXiv:2405.13993, 2024 | | 2024 |
| Transparent and Scalable Knowledge-based Geospatial Mapping Systems for Trustworthy Urban Studies H Song Purdue University, 2024 | | 2024 |
| Homogeneous 3D Land Cover Clusters: A New Tool for Evaluating the Influence of Urban Form on the Intra-Urban Heat Island H Song, A Shreevastava, G Cervini, J Jung AGU23, 2023 | | 2023 |
| Domain Adaptation Framework for Deep Learning based Change Detection in Remotely Sensed Data under Prior Probability Shift H Song, A Chang, J Yeom, J Jung, Y Kim Proceedings of the 40th Asian Conference on Remote Sensing, 2019 | | 2019 |
| Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling H Song, Y Kim 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | | 2019 |
| Reshaping Urban Landscape Factorization Through 3d Landscape Clustering for Urban Temperature Studies H Song, A Shreevastava, G Cervini, J Jung Available at SSRN 4862371, 0 | | |
