Publications

. 3D reconstruction Building model Graph neural network Point cloud Polyhedron Building footprint generation Convolution Kernel Morphology Feature extraction Training Hyperspectral imaging Information filters Deep learning (DL) hyperspectral image (HSI) classification morphology filter structural reparameterization (SRP) Cross-city classification Data gravitation Deep learning Domain adaptation Gaofen-1 Gaofen-2 High-resolution remote sensing High-spatial resolution Human brain Land cover mapping Monocular imagery Ocean wind speed Plastic functionality Remote sensing Renewable energy Roof segments and orientations Self-supervised learning Multi-modal learning Representation learning Audiovisual dataset Semi-supervised domain adaptation Semi-supervised learning Sentinel-2 South America Urban tree canopy Remote sensing Deep learning Urban sustainable development South America Urban tree coverage Urbanization impacts Remote sensing Urban sustainable development Super-resolution Transfer learning Transformer networks Urban land use

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2024

Li, Qingyu; Krapf, Sebastian; Mou, Lichao; Shi, Yilei; Zhu, Xiao Xiang

Deep learning-based framework for city-scale rooftop solar potential estimation by considering roof superstructures Journal Article

Applied Energy, 374 , pp. 123839, 2024, ISSN: 0306-2619.

Links | BibTeX | Tags: Convolutional neural network Remote sensing Roof superstructure Solar potential Local climate zone

Our project is done in close collaboration with the Technical University of Munich. In particular with the TUM Data Science in Earth Observation (Sipeo) group. The complete list of associated publications might be also interesting for you and is available here.

Artificial Intelligence for Earth Observation

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