Robust Spatial–Spectral Squeeze–Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification

Increasing importance in the field of artificial intelligence has led to huge progress in remote sensing. Deep learning approaches have made tremendous progress in hyperspectral image (HSI) classification. However, the complexity in classifying the HSI data using a common convolutional neural networ...

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Principais autores:	Kavitha Munishamaiaha, Gayathri Rajagopal, Dhilip Kumar Venkatesan, Muhammad Arif, Dragos Vicoveanu, Iuliana Chiuchisan, Diana Izdrui, Oana Geman
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-04-01
Series:	Sensors
Assuntos:	squeeze–excitation AdaBound dense network (SE-AB-DenseNet) hyperspectral image (HSI) classification (HSIC) cutout regularization
Acceso en liña:	https://www.mdpi.com/1424-8220/22/9/3229
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