output
20142026
most citedArtificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward

67 citations

Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 21 cited

Better, Not Just More: Data-Centric Machine Learning for Earth Observation

Ribana Roscher, Marc Rußwurm, Caroline Gevaert +8

Recent developments and research in modern machine learning have led to substantial improvements in the geospatial field. Although numerous deep learning architectures and models h…

eess.SY2023

A Linear Parameter-Varying Approach to Data Predictive Control

Chris Verhoek, Julian Berberich, Sofie Haesaert +2

By means of the linear parameter-varying (LPV) Fundamental Lemma, we derive novel data-driven predictive control (DPC) methods for LPV systems. In particular, we present output-fee…

astro-ph.IM2023★ 1 cited

Characterization of diamond-turned optics for SCALES

Isabel J. Kain, Phil Hinz, Marius Doetz +12

High-contrast imaging has been used to discover and characterize dozens of exoplanets to date. The primary limiting performance factor for these instruments is contrast, the ratio…

quant-ph2023★ 5 cited

Optical fibres with memory effects and their quantum communication capacities

Francesco Anna Mele, Giacomo De Palma, Marco Fanizza +2

The development of quantum repeaters poses significant challenges in terms of cost and maintenance, prompting the exploration of alternative approaches for achieving long-distance…

cs.CV2023★ 67 cited

Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward

Devis Tuia, Konrad Schindler, Begüm Demir +11

Earth observation (EO) is a prime instrument for monitoring land and ocean processes, studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's…