Ragini Bal Mahesh

According to our database, Ragini Bal Mahesh authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data.

Ragini Bal Mahesh, Ronny Hänsch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Forest Height Estimation With TanDEM-X SAR and InSAR Features Using Deep Learning.

Ragini Bal Mahesh, Ronny Hänsch

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Deep Learning for Forest Canopy Height Estimation from SAR.

Ragini Bal Mahesh, Ronny Hänsch

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Deep learning based landslide density estimation on SAR data for rapid response.

Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

SAR-based landslide classification pretraining leads to better segmentation.

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán

CoRR, 2022