activity
20172022
most citedLearning Aerial Image Segmentation from Online Maps

284 citations · 684 across the 12 of their papers we have counts for

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26 papers · 1 filter

cs.CV2022

A high-resolution canopy height model of the Earth

Nico Lang, Walter Jetz, Konrad Schindler +1

The worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity. Geospatially explicit an…

cs.CV20226 cited

Learning Graph Regularisation for Guided Super-Resolution

Riccardo de Lutio, Alexander Becker, Stefano D'Aronco +3

We introduce a novel formulation for guided super-resolution. Its core is a differentiable optimisation layer that operates on a learned affinity graph. The learned graph potential…

cs.CV202115 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.CV202141 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.CV202183 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…