OPTICAL FLOW FOR GLACIER MOTION ESTIMATION

13 citations as recorded by crossref.

1. Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide D. Hermle et al.
2. Image georectification and feature tracking toolbox: ImGRAFT A. Messerli & A. Grinsted
3. Time-lapse optical flow regularization for geophysical complex phenomena monitoring H. Hadhri et al.
4. A Bayesian ice thickness estimation model for large-scale applications M. Werder et al.
5. Weekly Glacier Flow Estimation from Dense Satellite Time Series Using Adapted Optical Flow Technology B. Altena & A. Kääb
6. RivQNet: Deep Learning Based River Discharge Estimation Using Close‐Range Water Surface Imagery S. Ansari et al.
7. Evaluating Image Tracking Approaches for Surface Velocimetry With Thermal Tracers D. Lin et al.
8. Global Circulation of Latent Heat in the Earth’s Atmosphere According to Data from Satellite Radiothermovision D. Ermakov
9. Estimating Landslide Surface Displacement by Combining Low-Cost UAV Setup, Topographic Visualization and Computer Vision Techniques V. Yordanov et al.
10. Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images G. Brigot et al.
11. Surface deformation dynamics of Sierra Negra's 2018 eruption: insights from InSAR, optical flow and pixel offset tracking M. Mohammadnia et al.
12. How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment D. Farinotti et al.
13. GeoFlowNet: Fast and Accurate Subpixel Displacement Estimation From Optical Satellite Images Based on Deep Learning T. Montagnon et al.