A Multi-Sensor Fusion Framework Based On Coupled Residual Convolutional Neural Networks

A Multi-Sensor Fusion Framework Based On Coupled Residual Convolutional Neural Networks

Multi-sensor remote sensing image classification has been considerably improved by deep learning feature extraction and classification networks. In this paper, we propose a novel multi-sensor fusion framework for the fusion of diverse remote sensing data sources. The novelty of this paper is grounde...

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Bibliographic Details
Main Authors: Hao Li, Pedram Ghamisi, Behnood Rasti, Zhaoyan Wu, Aurelie Shapiro, Michael Schultz, Alexander Zipf
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
deep learning
data fusion
hyperspectral image classification
residual learning
multi-sensor fusion
convolutional neural networks (CNNs)
Online Access:https://www.mdpi.com/2072-4292/12/12/2067

Internet

https://www.mdpi.com/2072-4292/12/12/2067

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