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Yu Li

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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467

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0

Scholarly Papers (2)

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1.

The Fully-Automatic Sentinel-1 Global Flood Monitoring Service: Scientific Challenges and Future Directions

Number of pages: 76 Posted: 25 Jan 2025
Wolfgang Wagner, Bernhard Bauer-Marschallinger, Florian Roth, Tobias Stachl, Christoph Reimer, Niall McCormick, Patrick Matgen, Marco Chini, Yu Li, Sandro Martinis, Marc Wieland, Franziska Kraft, Davide Festa, Muhammed Hassaan, Mark Edwin Tupas, Jie Zhao, Michaela Seewald, Michael Riffler, Luca Molini, Richard Kidd, Christian Briese and Peter Salamon
Vienna University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Vienna University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Independent, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Joint Research Center of the European Commission
Downloads 354 (210,353)

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Flood monitoring, Inland water, Sentinel-1, SAR, Datacube, Copernicus

2.

Extraction of Built-Up Areas Using Sentinel-1 and Sentinel-2 Data with Automated Training Data Sampling and Label Noise Robust Cross-Fusion Neural Networks

Number of pages: 58 Posted: 23 Jul 2024
Yu Li, Patrick Matgen and Marco Chini
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 113 (654,668)

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built-up area, cross-attention, SAR, data fusion, convolutional neural networks, noisy label learning