High-Performance Segmentation for Flood Mapping of HISEA-1 SAR Remote Sensing Images

High-Performance Segmentation for Flood Mapping of HISEA-1 SAR Remote Sensing Images

Floods are the among the most frequent and common natural disasters, causing numerous casualties and extensive property losses worldwide every year. Since flooding areas are often accompanied by cloudy and rainy weather, synthetic aperture radar (SAR) is one of the most powerful sensors for flood mo...

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Bibliographic Details
Main Authors: Suna Lv, Lingsheng Meng, Deanna Edwing, Sihan Xue, Xupu Geng, Xiao-Hai Yan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
flood mapping
water extraction
HISEA-1
synthetic aperture radar (SAR)
convolution neural network (CNN)
Online Access:https://www.mdpi.com/2072-4292/14/21/5504

Internet

https://www.mdpi.com/2072-4292/14/21/5504

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