Title
Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data Ragini Bal Mahesh Ronny Hänsch 41 0 0 14 Apr 2025
High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model F. Wagner Ricardo Dalagnol Griffin Carter Mayumi C. M. Hirye Shivraj Gill ... Sarah R Worden Martin Brandt P. Ciais Stephen C Hagen Sassan Saatchi AI4CE 56 0 0 17 Jan 2025
A high-resolution canopy height model of the Earth Nico Lang W. Jetz Konrad Schindler Jan Dirk Wegner 36 268 0 13 Apr 2022
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops S. D. Tommaso Sherrie Wang David B. Lobell 84 37 0 10 Sep 2021
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles Nico Lang Nikolai Kalischek J. Armston Konrad Schindler R. Dubayah Jan Dirk Wegner 21 161 0 05 Mar 2021
Country-wide high-resolution vegetation height mapping with Sentinel-2 Nico Lang Konrad Schindler Jan Dirk Wegner MDE 37 155 0 30 Apr 2019
Deep learning in remote sensing: a review Xiaoxiang Zhu D. Tuia Lichao Mou Gui-Song Xia Liangpei Zhang Feng Xu Friedrich Fraundorfer 58 1,605 0 11 Oct 2017
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community John E. Ball Derek T. Anderson Chee Seng Chan 46 521 0 01 Sep 2017
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 315 37,704 0 20 May 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 118 2,515 0 03 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015