Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network

Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network

In this paper, a novel convolutional neural network (CNN)-based architecture, named fine segmentation network (FSN), is proposed for semantic segmentation of high resolution aerial images and light detection and ranging (LiDAR) data. The proposed architecture follows the encoder–decoder pa...

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Bibliographic Details
Main Authors: Xuran Pan, Lianru Gao, Andrea Marinoni, Bing Zhang, Fan Yang, Paolo Gamba
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
high resolution aerial imagery
LiDAR
spectral image
semantic segmentation
deep learning
convolutional neural network (CNN)
Online Access:http://www.mdpi.com/2072-4292/10/5/743

Internet

http://www.mdpi.com/2072-4292/10/5/743

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