High Precision Building Detection from Aerial Imagery Using a U-Net Like Convolutional Architecture

High Precision Building Detection from Aerial Imagery Using a U-Net Like Convolutional Architecture

Automatic identification of the building target and precise acquisition of its vector contour has been an urgent task which is at the same time facing huge challenges.In recent years,due to its ability of automatically extracting high-dimensional abstract features with extremely high complexity,conv...

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Bibliographic Details
Main Authors: WU Guangming, CHEN Qi, Ryosuke SHIBASAKI, GUO Zhiling, SHAO Xiaowei, XU Yongwei
Format: Article
Language:zho
Published: Surveying and Mapping Press 2018-06-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
aerial imagery
building detection
convolutional neural network
U-Net
feature pyramid
Online Access:http://html.rhhz.net/CHXB/html/2018-6-864.htm

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http://html.rhhz.net/CHXB/html/2018-6-864.htm

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