Hybrid Convolutional Network Combining Multiscale 3D Depthwise Separable Convolution and CBAM Residual Dilated Convolution for Hyperspectral Image Classification

Hybrid Convolutional Network Combining Multiscale 3D Depthwise Separable Convolution and CBAM Residual Dilated Convolution for Hyperspectral Image Classification

In recent years, convolutional neural networks (CNNs) have been increasingly leveraged for the classification of hyperspectral imagery, displaying notable advancements. To address the issues of insufficient spectral and spatial information extraction and high computational complexity in hyperspectra...

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מידע ביבליוגרפי
Main Authors:	Yicheng Hu, Shufang Tian, Jia Ge
פורמט:	Article
שפה:	English
יצא לאור:	MDPI AG 2023-10-01
סדרה:	Remote Sensing
נושאים:	convolutional neural networks hyperspectral image classification depthwise separable CBAM MDRDNet
גישה מקוונת:	https://www.mdpi.com/2072-4292/15/19/4796

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