A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction

A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction

The automatic extraction of building outlines from aerial imagery for the purposes of navigation and urban planning is a long-standing problem in the field of remote sensing. Currently, most methods utilize variants of fully convolutional networks (FCNs), which have significantly improved model perf...

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Bibliographic Details
Main Authors:	Guangming Wu, Zhiling Guo, Xiaodan Shi, Qi Chen, Yongwei Xu, Ryosuke Shibasaki, Xiaowei Shao
Format:	Article
Language:	English
Published:	MDPI AG 2018-07-01
Series:	Remote Sensing
Subjects:	roof segmentation outline extraction convolutional neural network boundary regulated network very high resolution imagery
Online Access:	http://www.mdpi.com/2072-4292/10/8/1195

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