Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data

Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data

The accuracy of most SAR-based flood classification and segmentation derived from semi-automated algorithms is often limited due to complicated radar backscatter. However, deep learning techniques, now widely applied in image classifications, have demonstrated excellent potential for mapping complex...

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Bibliographic Details
Main Authors: Ogbaje Andrew, Armando Apan, Dev Raj Paudyal, Kithsiri Perera
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
remote sensing
floods
convolutional neural network
deep learning
U-Net
PSPNet
Online Access:https://www.mdpi.com/2220-9964/12/5/194

Internet

https://www.mdpi.com/2220-9964/12/5/194

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