Country-wide Retrieval of Forest Structure From Optical and SAR
Satellite Imagery With Deep Ensembles

Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles

25 November 2021

Alexander Becker

Konrad Schindler

Jan Dirk Wegner

Papers citing "Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles"

8 / 8 papers shown

Title
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series Corinne Stucker Vivien Sainte Fare Garnot Konrad Schindler AI4TS 24 13 0 22 May 2023
A high-resolution canopy height model of the Earth Nico Lang W. Jetz Konrad Schindler Jan Dirk Wegner 29 259 0 13 Apr 2022
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR Nico Lang Konrad Schindler Jan Dirk Wegner 32 14 0 15 Jul 2021
Mapping oil palm density at country scale: An active learning approach Andrés C. Rodríguez Stefano Dáronco Konrad Schindler Jan Dirk Wegner 32 40 0 24 May 2021
Crop mapping from image time series: deep learning with multi-scale label hierarchies Mehmet Özgür Türkoglu Stefano Dáronco Gregor Perich F. Liebisch Constantin Streit Konrad Schindler Jan Dirk Wegner 87 129 0 17 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015