Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery

Convolutional neural networks (CNNs) have recently been demonstrated to be able to substantially improve the land cover classification accuracy of hyperspectral images. Meanwhile, the rapidly developing capacity for satellite and airborne image spectroscopy as well as the enormous archives of spectr...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Jinxiang Liu, Tiejun Wang, Andrew Skidmore, Yaqin Sun, Peng Jia, Kefei Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Subjects:	computational efficiency convolutional neural network deep learning classification accuracy
Online Access:	https://www.mdpi.com/2072-4292/15/19/4797