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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Hlavní autoři:	Ogbaje Andrew, Armando Apan, Dev Raj Paudyal, Kithsiri Perera
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-05-01
Edice:	ISPRS International Journal of Geo-Information
Témata:	remote sensing floods convolutional neural network deep learning U-Net PSPNet
On-line přístup:	https://www.mdpi.com/2220-9964/12/5/194
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