2025
Kang, D.K., Olsen, M.J., Fischer E., and Jung, J., (2025). "Residential Wildfire Structural Damage Detection Using Deep Learning to Analyze Uncrewed Aerial System (UAS)Imagery, Aerial Imagery, and Satellite Imagery", Fire and Materials, 0, 1-18
Jung, J., Parrish, C. E., Magruder, L. A., Herrmann, J., Yoo, S., & Perry, J. S. (2025). "ICESat-2 bathymetry algorithms: A review of the current state-of-the-art and future outlook", ISPRS Journal of Photogrammetry and Remote Sensing, 223, 413-439
2024
Ma, J., Jung, J., and Leite, F. (2024) "Deep learning-based Scan-to-BIM automation and object scope expansion using a low-cost scanning data", Journal of Computing in Civil Engineering, 38(6), 04024040
Jung, J., Parrish, C.E., Yoo, S., and Costa B. (2024) "Simultaneous Invariant Normalization of Waveform Features from Bathymetric Lidar, SINWav: A Saipan Case Study", ISPRS Journal of Photogrammetry and Remote Sensing, 214, 1-20
Jung, J., Olsen, M.J., Che, E., Parrish C., and Turkan, Y. (2024) "Instance-based clustering of road markings with wear and occlusion from mobile lidar data", Journal of Computing in Civil Engineering, 38(4), 04024021
Sharr, M.B., Parrish C.E., and Jung, J. (2024) "Classifying Valid and Erroneous Depths in Satellite Derived Bathymetry with Random Forest", International Journal of Applied Earth Observation and Geoinformation, 129, 103796
2023
Kim, H., Jung, J., Lee, J., and Wie, G. (2023) "Water bottom and surface classification algorithm for bathymetric LiDAR point clouds of very shallow waters", Canadian Journal of Remote Sensing, 49(1), 2172957
Alam, M.S., Simpson, B., Barbosa, A., Jung, J., and Parulekar, N. (2023) "Probabilistic seismic damage and loss assessment methodology for wastewater network incorporating modeling uncertainty and correlations", Earthquake Spectra, https://doi.org/10.1177/87552930231180642
2022
Jung, J., Parrish, C.E. E., Callahan, B., & Dennis, M. L. (2022) "Recovery and Readjustment of Historical Ocean Coast Control Stations in Oregon", Journal of Surveying Engineering, 148(2), 05021007
2021
Che, E., Olsen, M.J., and Jung, J., (2021) "Efficient segment-based ground filtering and adaptive road detection from mobile light detection and ranging (LiDAR) data", International Journal of Remote Sensing, 42(10), 3633-3659
Jung, J., Lee, J., and Parrish, C.E. E. (2021) "Inverse Histogram-Based Clustering Approach to Seafloor Segmentation from Bathymetric Lidar Data", Remote Sensing, 13(18), 3665
2020
Kim, B., Han, S., Heo, J., and Jung, J. (2020) "Proof-of-concept of a two-stage approach for selecting suitable slopes on a highway network for solar photovoltaic systems: a case study in South Korea", Renewable Energy 151, 366-377
Jung, Y., Jung, J., Kim, B., and Han, S. (2020) "Long-short term memory recurrent neural network for modeling of temporal patterns in long-term power forecasting of solar PV facilities: case study of South Korea", Journal of Cleaner Production 250, 119476
Heo, J., Jung, J., Kim, B., Han, S. (2020) "Digital elevation model-based convolutional neural network modeling for searching of high solar energy regions: a case study in South Korea", Applied Energy 262, 114588
Kim, B., Kim, C., Han, S., Bae J., and Jung, J. (2020) "Is it a good time to develop commercial photovoltaic systems on farmland? An American-style option with crop price risk", Renewable & Sustainable Energy Reviews 125, 109827
Jung, J., Che, E., Olsen, M.J., and Shafer K.C. (2020) "Automated and Efficient Powerline Extraction from Lidar Data using an Intelligent Subsampling based Hierarchical Approach", ISPRS Journal of Photogrammetry and Remote Sensing 163, 343-361
2019
Jung, J., Che, E., Olsen, M.J., and Parrish C. (2019) "Efficient and robust lane marking extraction from mobile lidar point clouds", ISPRS Journal of Photogrammetry and Remote Sensing 147, 1-18
Che, E., Jung, J., and Olsen, M.J. (2019) "Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: State of the Art Review", Sensors 19(4), 810
Jung, J., Han, S., and Kim, B. (2019) "Digital Numerical Map-Oriented Estimation of Solar Energy Potential for Site Selection of Photovoltaic Solar Panels on National Highway Slopes", Applied Energy 242, 57-68
Che, E., Olsen, M.J., Parrish, C.E., and Jung, J. (2019) "Pavement Marking Retroreflectivity Estimation and Evaluation using Mobile Lidar Data", Photogrammetric Engineering & Remote Sensing 85(8), 573-583
Eren, F., Jung, J., Parrish, C.E., Forfinski-Sarkozi, N, and Calder, B. (2019) "Total Vertical Uncertainty (TVU) modeling for topo-bathymetric lidar systems", Photogrammetric Engineering & Remote Sensing 85(8), 585-596
2018
Jung, J., Olsen, M.J., Hurwitz D.S., Kashani A.G., and Buker K. (2018), "3D virtual intersection sight distance analysis using lidar Data", Transportation Research Part C: Emerging Technologies 86, 563-579
Jung, J., Stachniss, C., Ju, S., and Heo, J. (2018) "Automated 3D volumetric reconstruction of building interior with multiple rooms for as-built BIM", Advanced Engineering Informatics 38, 811-825
2017
Jung, J., Stachniss, C., and Kim, C. (2017) "Automatic room segmentation of 3D laser data using morphological processing", ISPRS International Journal of Geo-Information 6(7), 206
2016
Jung, J., Hong, S., Yoon, S., Kim, J., and Heo, J. (2016) "Automated 3D wireframe modeling of indoor structures from point clouds using constrained least squares adjustment for as-built BIM", Journal of Computing in Civil Engineering 30(4), 04015074
Kim, C., Habib, A., Pyeon, M., Kwon, G., Jung, J., and Heo, J. (2016) "Segmentation of planar surfaces from laser scanning data using the magnitude of normal position vector for adaptive neighborhoods", Sensors 16(2), 140
Kim, S., Kim, J., Jung, J., & Heo, J. (2015). "Development of a 3D underground cadastral system with indoor mapping for as-built BIM: The case study of Gangnam subway station in korea", Sensors, 15(12), 30870-30893.
Kim, C., Heo, J., Lee, J., Han, S., Jung, J., and Jayakumar, S. (2012) "A synergetic approach to estimating timber age using integrated remotely sensed optical image and InSAR height data", International Journal of Remote Sensing 33(1), 243-260