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Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco

, , , , , и . Remote Sensing, 14 (17): 4327 (сентября 2022)
DOI: 10.3390/rs14174327

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Martin Hoeser

Christian Hoeser

Juliane Hoeser

Lothar Hoeser

Thorsten Gelbrich

Multifunktionale Magnetische Kern-Schale-Nanopartikel für Biomedizinische Anwendungen. Uni Düsseldorf, (2009)
 

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Global dynamics of the offshore wind energy sector monitored with Sentinel-1: Turbine count, installed capacity and site specifications., и . Int. J. Appl. Earth Obs. Geoinformation, (2022)Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends., и . Remote. Sens., 12 (10): 1667 (2020)SyntEO: Synthetic Dataset Generation for Earth Observation with Deep Learning - Demonstrated for Offshore Wind Farm Detection., и . CoRR, (2021)SyntEO: Synthetic dataset generation for Earth observation and deep learning - Demonstrated for offshore wind farm detection, и . ISPRS Journal of Photogrammetry and Remote Sensing, (Mai 2022)Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco, , , , , и . Remote Sensing, 14 (17): 4327 (сентября 2022)Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications, , и . Remote Sensing, 12 (18): 3053 (сентября 2020)Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco., , , , , и . Remote. Sens., 14 (17): 4327 (2022)DeepOWT: a global offshore wind turbine data set derived with deep learning from Sentinel-1 data, , и . Earth System Science Data, (сентября 2022)