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

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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Bibliographic Details
Main Authors: Kavitha Munishamaiaha, Gayathri Rajagopal, Dhilip Kumar Venkatesan, Muhammad Arif, Dragos Vicoveanu, Iuliana Chiuchisan, Diana Izdrui, Oana Geman
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
squeeze–excitation AdaBound dense network (SE-AB-DenseNet)
hyperspectral image (HSI) classification (HSIC)
cutout regularization
Online Access:https://www.mdpi.com/1424-8220/22/9/3229

Internet

https://www.mdpi.com/1424-8220/22/9/3229

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