Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks

Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks

Recently, convolutional neural networks (CNN) have been intensively investigated for the classification of remote sensing data by extracting invariant and abstract features suitable for classification. In this paper, a novel framework is proposed for the fusion of hyperspectral images and LiDAR-deri...

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Bibliographic Details
Main Authors: Hao Li, Pedram Ghamisi, Uwe Soergel, Xiao Xiang Zhu
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
data fusion
extinction profiles (EPs)
composite kernels
convolutional neural networks (CNN)
feature extraction (FE)
Online Access:http://www.mdpi.com/2072-4292/10/10/1649

Internet

http://www.mdpi.com/2072-4292/10/10/1649

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