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Promoting SAR-Based Urban Flood Mapping with Adversarial Generative Network and Out of Distribution Detection

  • Published:2023-07-16 Issue: Volume: Page:
  • ISSN:
  • Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Yang Qing1,Shen Xinyi1,Zhang Qingyuan2,Helfrich Sean3,Kellndorfer Josef M.3,Hao Wei3

Affiliation:

1. University of Wisconsin Milwaukee,School of Freshwater Sciences,Milwaukee,United States

2. University of Maryland,Earth System Science Interdisciplinary Center,College Park,United States

3. NOAA,National Environmental Satellite, Data, and Information Service, Center for Satellite Applications and Research,College Park,United States

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Large-Scale Urban Flood Mapping Using Sentinel-1 Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Advanced Operational Flood Monitoring in the New Era: Harnessing High-Resolution, Event Based, and Multi-Source Remote Sensing Data for Flood Extent Detection and Depth Estimation;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. SAR Features and Techniques for Urban Planning—A Review;Remote Sensing;2024-05-27
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