Hyperspectral Image Classification Method Based on Morphological Features and Hybrid Convolutional Neural Networks

Hyperspectral Image Classification Method Based on Morphological Features and Hybrid Convolutional Neural Networks

The exploitation of the spatial and spectral characteristics of hyperspectral remote sensing images (HRSIs) for the high-precision classification of earth observation targets is crucial. Convolutional neural networks (CNNs) have good classification performance and are widely used neural networks. He...

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Bibliographic Details
Main Authors: Tonghuan Ran, Guangfeng Shi, Zhuo Zhang, Yuhao Pan, Haiyang Zhu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
convolutional neural nets
hyperspectral imaging
mathematical morphology
principal component analysis
Online Access:https://www.mdpi.com/2076-3417/14/22/10577
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