Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models-Reference-Cited by-同舟云学术

Developing a Framework for Rapid Collapsed Building Mapping Using Satellite Imagery and Deep Learning Models

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:

Adriano Bruno¹,Miura Hiroyuki²,Liu Wen³,Matsuoka Masashi⁴,Koshimura Shunichi¹

Affiliation:

1. Tohoku University,International Research Institute of Disaster Science,Japan

2. Hiroshima University,School of Advanced Science and Engineering,Japan

3. Chiba University,Graduate School of Engineering,Japan

4. Tokyo Institute of Technology,Department of Architecture and Building Engineering,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282604.pdf?arnumber=10282604

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3. The M7.8 and M7.5 Kahramanmara? Earthquake Sequence struck near Nurda??, Turkey (Türkiye) on February 6, 2023,2023

4. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Int Conf Med Image Comput Comput Assist Interv,2015

5. Learning from multimodal and multitemporal earth observation data for building damage mapping

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