U-net Network for Building Information Extraction of Remote-Sensing Imagery

KOVALEN (Jurnal Riset Kimia)

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Field Value
 
Title U-net Network for Building Information Extraction of Remote-Sensing Imagery
 
Creator Li, Jingtan
Xu, Maolin
Xiu, Hongling
 
Subject High resolution remote sensing image, FCN; U-net, Building extraction
 
Description With the resolution of remote sensing images is getting higher and higher, high-resolution remote sensing images are widely used in many areas. Among them, image information extraction is one of the basic applications of remote sensing images. In the face of massive high-resolution remote sensing image data, the traditional method of target recognition is difficult to cope with. Therefore, this paper proposes a remote sensing image extraction based on U-net network. Firstly, the U-net semantic segmentation network is used to train the training set, and the validation set is used to verify the training set at the same time, and finally the test set is used for testing. The experimental results show that U-net can be applied to the extraction of buildings.
 
Publisher kassel university press GmbH
 
Contributor National Key Research and Development Project of China
 
Date 2018-12-23
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://online-journals.org/index.php/i-joe/article/view/9335
10.3991/ijoe.v14i12.9335
 
Source International Journal of Online and Biomedical Engineering (iJOE); Vol 14, No 12 (2018); pp. 179-190
2626-8493
 
Language eng
 
Relation https://online-journals.org/index.php/i-joe/article/view/9335/5359
 
Rights Copyright (c) 2018 Jingtan Li, Maolin Xu, Hongling Xiu
 

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