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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Egile Nagusiak:	Ogbaje Andrew, Armando Apan, Dev Raj Paudyal, Kithsiri Perera
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2023-05-01
Saila:	ISPRS International Journal of Geo-Information
Gaiak:	remote sensing floods convolutional neural network deep learning U-Net PSPNet
Sarrera elektronikoa:	https://www.mdpi.com/2220-9964/12/5/194
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!