alphaFeedback
RH

Ronny Hänsch

cs.CVcs.LGeess.IVcs.AIphysics.comp-ph

On Valency

published · living versions
W_arscu7rs·v1 · currentpublished
See the Future, Classify the Present: Stochastic Latent World Modeling for Hyperspectral Images
with Muhammad Ahmad, Gemine Vivone, Ahmed Sohaib, Manuel Mazzara +1
1 version

Preprints & journals

16 papers in the corpus · 2021–2026
See the Future, Classify the Present: Stochastic Latent World Modeling for Hyperspectral Images2610.25781v1 · Muhammad Ahmad, Gemine Vivone, Ronny Hansch et al.2026 · 0 citationsarXivon Valency
Hybrid Machine Learning Model for Forest Height Estimation from TanDEM-X and Landsat Data2605.20997v1 · Islam Mansour, Ronny Haensch, Irena Hajnsek et al.2026 · 0 citationsarXiv
Data-Centric Benchmark for Label Noise Estimation and Ranking in Remote Sensing Binary Building Segmentation2603.00604v2 · Keiller Nogueira, Codrut-Andrei Diaconu, D'avid Kerekes et al.2026 · 1 citationarXiv
Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning2505.03327v1 · Jos'e-Luis Bueso-Bello, Benjamin Chauvel, Daniel Carcereri et al.2025 · 0 citationsarXiv
Core-Set Selection for Data-efficient Land Cover Segmentation2505.01225v3 · Keiller Nogueira, Akram Zaytar, Wanli Ma et al.2025 · 0 citationsarXiv
CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classification2502.00083v1 · Mateus de Souza Miranda, Ronny Hansch, Valdivino Alexandre de Santiago J'unior et al.2025 · 2 citationsarXiv
Better, Not Just More: Data-Centric Machine Learning for Earth Observation2312.05327v4 · Ribana Roscher, Marc Ru\sswurm, Caroline Gevaert et al.2023 · 26 citationsIEEE Geoscience and Remote Sensing Magazine, vol. 12, no. 4, pp. 335-355, Dec. 2024
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset2311.09276v1 · Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot et al.2023 · 1 citationarXiv
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation2310.19231v1 · Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu et al.2023 · 46 citationsPublished in IEEE Geoscience and Remote Sensing Magazine, vol. 11, no. 3, pp. 63-97, Sept. 2023
Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery.36922495 · Sun, Xian, Yin, Dongshuo, Qin, Fei et al.2023 · 105 citationsNature communications. 2023;14(1):1444
EOD: The IEEE GRSS Earth Observation Database2209.12480v1 · Michael Schmitt, Pedram Ghamisi, Naoto Yokoya et al.2022 · 11 citationsarXiv
Random Ferns for Semantic Segmentation of PolSAR Images2202.03498v1 · Pengchao Wei, Ronny Hansch2022 · 3 citationsarXiv
Deep Learning and Earth Observation to Support the Sustainable Development Goals2112.11367v1 · Claudio Persello, Jan Dirk Wegner, Ronny Hansch et al.2021 · 6 citationsarXiv
There is no data like more data -- current status of machine learning datasets in remote sensing2105.11726v2 · Michael Schmitt, Seyed Ali Ahmadi, Ronny Hansch2021 · 32 citationsarXiv
Career total: 164 works. 16 are in this corpus.

Profile built from the corpus for this byline.

Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.