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Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data
14 April 2025
Ragini Bal Mahesh
Ronny Hänsch
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Papers citing
"Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data"
5 / 5 papers shown
Title
CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data
Wenyu Yang
S. Vitale
H. Aghababaei
G. Ferraioli
V. Pascazio
Gilda Schirinzi
3DPC
36
2
0
29 Mar 2024
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images
Shaojia Ge
O. Antropov
T. Häme
R. McRoberts
J. Miettinen
60
5
0
09 Aug 2023
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
Martin Schwartz
P. Ciais
Catherine Ottlé
A. D. Truchis
C. Véga
...
Franccois Morneau
David Morin
D. Guyon
S. Dayau
J. Wigneron
88
47
0
20 Dec 2022
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles
Alexander Becker
S. Russo
Stefano Puliti
Nico Lang
Konrad Schindler
Jan Dirk Wegner
70
45
0
25 Nov 2021
Living in the Physics and Machine Learning Interplay for Earth Observation
Gustau Camps-Valls
D. Svendsen
Jordi Cortés-Andrés
Álvaro Moreno-Martínez
Adrián Pérez-Suay
J. Adsuara
I. Martín
M. Piles
Jordi Munoz-Marí
Luca Martino
PINN
AI4CE
34
6
0
18 Oct 2020
1