Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

Automatic building segmentation from aerial imagery is an important and challenging task because of the variety of backgrounds, building textures and imaging conditions. Currently, research using variant types of fully convolutional networks (FCNs) has largely improved the performance of this task....

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Bibliographic Details
Main Authors: Guangming Wu, Xiaowei Shao, Zhiling Guo, Qi Chen, Wei Yuan, Xiaodan Shi, Yongwei Xu, Ryosuke Shibasaki
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
aerial imagery
building detection
convolutional neural network
multi-constraint fully convolutional networks
feature pyramid
Online Access:http://www.mdpi.com/2072-4292/10/3/407

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