Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China

Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China

This paper presents a novel approach for semantic segmentation of building roofs in dense urban environments with a Deep Convolution Neural Network (DCNN) using Chinese Very High Resolution (VHR) satellite (i.e., GF2) imagery. To provide an operational end-to-end approach for accurately mapping buil...

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Bibliographic Details
Main Authors: Yuchu Qin, Yunchao Wu, Bin Li, Shuai Gao, Miao Liu, Yulin Zhan
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
VHR image
building roof
segmentation
GF2
deep convolution neural network
Online Access:http://www.mdpi.com/1424-8220/19/5/1164

Internet

http://www.mdpi.com/1424-8220/19/5/1164

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