Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing

Liangpei Zhang
Liangpei Zhang

IGARSS, pp. 3852-3855, 2018.

Cited by: 4|Bibtex|Views7
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

This paper presents a new data fusion methodology named Fusion-FCN for the classification of multi-source remote sensing data using fully convolutional networks (FCNs). Three different types of data including LiDAR data, hyperspectral images and very high resolution images are utilized in the proposed framework. Considering the confusions...More

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