Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data

Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data

With the development of high-resolution optical sensors, the classification of ground objects combined with multivariate optical sensors is a hot topic at present. Deep learning methods, such as convolutional neural networks, are applied to feature extraction and classification. In this work, a nove...

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Bibliographic Details
Main Authors: Chenming Li, Yongchang Wang, Xiaoke Zhang, Hongmin Gao, Yao Yang, Jiawei Wang
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
hyperspectral image
deep learning
feature extraction
classification
remote sensors
multi-sensor fusion
Online Access:http://www.mdpi.com/1424-8220/19/1/204

Internet

http://www.mdpi.com/1424-8220/19/1/204

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