1.9k citations
- Helmholtz-Zentrum Dresden-RossendorfDE41 papers
- Austrian Research Institute for Artificial IntelligenceAT15 papers
- Institute of Advanced Research in Artificial IntelligenceAT10 papers
- Technical University of MunichDE10 papers
- Hunan UniversityCN7 papers
- University of IcelandIS6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Institut polytechnique de GrenobleFR5 papers
- Chinese Academy of SciencesCN4 papers
- Laboratoire Jean KuntzmannFR4 papers
- Lancaster UniversityGB4 papers
- Université Grenoble AlpesFR4 papers
44 papers
MWIR-4-Plastic: The Identification of Complex End-of-Life Industrial Plastic using Mid-wave Infrared Hyperspectral Imaging and Machine Learning
Elias Arbash, Andréa de Lima Ribeiro, Filipa Simões +9
The automated sorting of shredded black plastics from end-of-life (EOF) industrial waste presents a significant challenge in recycling facilities, primarily due to the limitations…
Automated Road Crack Localization for Spatially Guided Highway Maintenance
Steffen Knoblauch, Ram Kumar Muthusamy, Pedram Ghamisi +1
Highway networks are crucial for economic prosperity. Climate change-induced temperature fluctuations are exacerbating stress on road pavements, resulting in elevated maintenance c…
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
Elias Arbash, Ahmed Jamal Afifi, Ymane Belahsen +4
The global challenge of sustainable recycling demands automated, fast, and accurate, state-of-the-art (SOTA) material detection systems that act as a bedrock for a circular economy…
HyperPointFormer: Multimodal Fusion in 3D Space with Dual-Branch Cross-Attention Transformers
Aldino Rizaldy, Richard Gloaguen, Fabian Ewald Fassnacht +1
Multimodal remote sensing data, including spectral and lidar or photogrammetry, is crucial for achieving satisfactory land-use / land-cover classification results in urban scenes.…
Auto-Prompting SAM for Weakly Supervised Landslide Extraction
Jian Wang, Xiaokang Zhang, Xianping Ma +2
Weakly supervised landslide extraction aims to identify landslide regions from remote sensing data using models trained with weak labels, particularly image-level labels. However,…
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
Weikang Yu, Xiaokang Zhang, Samiran Das +2
Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature. It is typically regarded as a pixel-wise labeling task tha…