activity
20162026
most citedLearning Aerial Image Segmentation from Online Maps

284 citations · 741 across the 32 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

9 papers · 2 filters

cs.CV2021

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

Alexander Becker, Stefania Russo, Stefano Puliti +3

Monitoring and managing Earth's forests in an informed manner is an important requirement for addressing challenges like biodiversity loss and climate change. While traditional in…

cs.CV2021★ 15 cited

High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR

Nico Lang, Konrad Schindler, Jan Dirk Wegner

The increasing demand for commodities is leading to changes in land use worldwide. In the tropics, deforestation, which causes high carbon emissions and threatens biodiversity, is…

cs.CV2021

Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographs

Riccardo de Lutio, Yihang She, Stefano D'Aronco +4

Automatic identification of plant specimens from amateur photographs could improve species range maps, thus supporting ecosystems research as well as conservation efforts. However,…

cs.CV2021★ 41 cited

Mapping oil palm density at country scale: An active learning approach

Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler +1

Accurate mapping of oil palm is important for understanding its past and future impact on the environment. We propose to map and count oil palms by estimating tree densities per pi…

cs.CV2021★ 83 cited

Towards a Collective Agenda on AI for Earth Science Data Analysis

Devis Tuia, Ribana Roscher, Jan Dirk Wegner +3

In the last years we have witnessed the fields of geosciences and remote sensing and artificial intelligence to become closer. Thanks to both the massive availability of observatio…

cs.CV2021

In the light of feature distributions: moment matching for Neural Style Transfer

Nikolai Kalischek, Jan Dirk Wegner, Konrad Schindler

Style transfer aims to render the content of a given image in the graphical/artistic style of another image. The fundamental concept underlying NeuralStyle Transfer (NST) is to int…