REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING

12 citations as recorded by crossref.

1. An Application of Persistent Scatterer Interferometry (PSI) Technique for Infrastructure Monitoring P. D’Aranno et al. https://doi.org/10.3390/rs13061052
2. Differential SAR Interferometry Using Sentinel-1 Imagery-Limitations in Monitoring Fast Moving Landslides: The Case Study of Cyprus M. Tzouvaras et al. https://doi.org/10.3390/geosciences10060236
3. Industry Analysis of Remote Infrastructure Monitoring and IT Operations Services Industry in India . Chethana G. Shenoy & . P. S. Aithal https://doi.org/10.64818/PIJTRCS.3107.8494.0064
4. Deep Learning Meets InSAR for Infrastructure Monitoring: A Systematic Review of Models, Applications, and Challenges M. Fontes et al. https://doi.org/10.3390/s25237169
5. Mobile 3D scan LiDAR: a literature review F. Di Stefano et al. https://doi.org/10.1080/19475705.2021.1964617
6. Advancements in remote sensing techniques for earthquake engineering: A review C. H.K et al. https://doi.org/10.1016/j.eqrea.2024.100352
7. On the Scalability and Coverage of LoRa Mesh for Monitoring Linear Infrastructure Y. Chen et al. https://doi.org/10.1109/TVT.2025.3563236
8. Evaluation of Long-Range Mobile Mapping System (MMS) and Close-Range Photogrammetry for Deformation Monitoring. A Case Study of Cortes de Pallás in Valencia (Spain) F. Di Stefano et al. https://doi.org/10.3390/app10196831
9. Implementation of Non-Linear Non-Parametric Persistent Scatterer Interferometry and Its Robustness for Displacement Monitoring F. Ogushi et al. https://doi.org/10.3390/s21031004
10. A Response-Type Road Anomaly Detection and Evaluation Method for Steady Driving of Automated Vehicles C. Liu et al. https://doi.org/10.1109/TITS.2022.3182428
11. Differential synthetic aperture radar (SAR) interferometry for detection land subsidence in Derna City, Libya H. Ibrahim et al. https://doi.org/10.1515/jag-2023-0087
12. A new approach to enhancing inSAR-based subsidence detection in pavements: validation with complementary FWD and GPR data A. Alonso-Díaz et al. https://doi.org/10.1080/10298436.2025.2601718