Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data

Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data

Airborne hyperspectral data has high spectral-spatial information. However, how to mine and use this information effectively is still a great challenge. Recently, a three-dimensional convolutional neural network (3D-CNN) provides a new effective way of hyperspectral classification. However, its capa...

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Bibliographic Details
Main Authors: Xiaotong Ma, Qixia Man, Xinming Yang, Pinliang Dong, Zelong Yang, Jingru Wu, Chunhui Liu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
airborne hyperspectral image
deep learning
3D-CNN
pixel-based
3D-1D-CNN
Online Access:https://www.mdpi.com/2072-4292/15/4/992

Internet

https://www.mdpi.com/2072-4292/15/4/992

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