MSflood: A Multi-Sources Segmentation For Remote Sensing Flood Images-Reference-Cited by-同舟云学术

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MSflood: A Multi-Sources Segmentation For Remote Sensing Flood Images

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

El Rai Marwa Chendeb¹,Darweesh Muna²,Bea Far Aicha³

Affiliation:

1. American University in Dubai,Mathematics Division,UAE

2. College of Engineering and IT, University of Dubai,UAE

3. School of Engineering, American University in Dubai,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10361260/10360496/10361413.pdf?arnumber=10361413

Reference19 articles.

1. A framework for multi-sensor satellite data to evaluate crop production losses: the case study of 2022 Pakistan floods

2. Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study

3. Use of remote sensing data in comprehending an extremely unusual flooding event over southwest Bangladesh

4. Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection

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