| Fast statistically homogeneous pixel selection for covariance matrix estimation for multitemporal InSAR M Jiang, X Ding, RF Hanssen, R Malhotra, L Chang IEEE transactions on geoscience and remote sensing 53 (3), 1213-1224, 2014 | 227 | 2014 |
| Nationwide railway monitoring using satellite SAR interferometry L Chang, RPBJ Dollevoet, RF Hanssen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 133 | 2016 |
| Detection of cavity migration and sinkhole risk using radar interferometric time series L Chang, RF Hanssen Remote sensing of environment 147, 56-64, 2014 | 105 | 2014 |
| A probabilistic approach for InSAR time-series postprocessing L Chang, RF Hanssen IEEE transactions on geoscience and remote sensing 54 (1), 421-430, 2015 | 101 | 2015 |
| Structural health monitoring of railway transition zones using satellite radar data H Wang, L Chang, V Markine Sensors 18 (2), 413, 2018 | 62 | 2018 |
| Sinkhole occurrence monitoring over shallow abandoned coal mines with satellite-based persistent scatterer interferometry AA Malinowska, WT Witkowski, R Hejmanowski, L Chang, FJ van Leijen, ... Engineering geology 262, 105336, 2019 | 60 | 2019 |
| Monitoring line-infrastructure with multisensor SAR interferometry: Products and performance assessment metrics L Chang, RPBJ Dollevoet, RF Hanssen IEEE journal of selected topics in applied earth observations and remote …, 2018 | 58 | 2018 |
| Monitoring deformation along railway systems combining multi-temporal InSAR and LiDAR data F Hu, FJ Leijen, L Chang, J Wu, RF Hanssen Remote sensing 11 (19), 2298, 2019 | 47 | 2019 |
| Detection of permafrost sensitivity of the Qinghai–Tibet railway using satellite radar interferometry L Chang, RF Hanssen International journal of remote sensing 36 (3), 691-700, 2015 | 45 | 2015 |
| Use of LSTM for sinkhole-related anomaly detection and classification of InSAR deformation time series A Kulshrestha, L Chang, A Stein IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 42 | 2022 |
| Railway infrastructure monitoring using satellite radar data L Chang, R Dollevoet, RF Hanssen Int. J. Railw. Technol 3 (2), 79-91, 2014 | 39 | 2014 |
| Incorporating temporary coherent scatterers in multi-temporal InSAR using adaptive temporal subsets F Hu, J Wu, L Chang, RF Hanssen IEEE transactions on geoscience and remote sensing 57 (10), 7658-7670, 2019 | 31 | 2019 |
| Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management M Koohmishi, S Kaewunruen, L Chang, Y Guo Automation in Construction 162, 105378, 2024 | 26 | 2024 |
| Railway infrastructure classification and instability identification using Sentinel-1 SAR and laser scanning data L Chang, NP Sakpal, SO Elberink, H Wang Sensors 20 (24), 7108, 2020 | 24 | 2020 |
| Mode-splitting in a microring resonator for self-referenced biosensing M De Goede, M Dijkstra, L Chang, N Acharyya, G Kozyreff, R Obregon, ... Optics express 29 (1), 346-358, 2021 | 22 | 2021 |
| Individual scatterer model learning for satellite interferometry B Van De Kerkhof, V Pankratius, L Chang, R Van Swol, RF Hanssen IEEE transactions on geoscience and remote sensing 58 (2), 1273-1280, 2019 | 21 | 2019 |
| Interferometric synthetic aperture radar statistical inference in deformation measurement and geophysical inversion: a review C Wang, L Chang, XS Wang, B Zhang, A Stein IEEE Geoscience and Remote Sensing Magazine, 2024 | 20 | 2024 |
| Topography-correlated atmospheric signal mitigation for InSAR applications in the Tibetan plateau based on global atmospheric models Y Wang, L Chang, W Feng, S Samsonov, W Zheng International Journal of Remote Sensing 42 (11), 4361-4379, 2021 | 18 | 2021 |
| Monitoring civil infrastructure using satellite radar interferometry L Chang | 17 | 2015 |
| Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions K He, H Tanyas, L Chang, X Hu, G Luo, L Lombardo Remote Sensing of Environment 289, 113518, 2023 | 16 | 2023 |
R.F. HanssenAntoni van Leeuwenhoek professor, Delft University of Technology, the NetherlandsVerified email at tudelft.nl