The impact of data volume on performance of deep learning based building rooftop extraction using very high spatial resolution aerial images

Building rooftop data are of importance in several urban applications and in natural disaster management. In contrast to traditional surveying and mapping, by using high spatial resolution aerial images, deep learning-based building rooftops extraction methods are efficient and accurate. Although mo...

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Veröffentlicht in:	arXiv.org 2021-10
Hauptverfasser:	He, Hongjie, Yang, Ke, Cai, Yuwei, Jiang, Zijian, Yu, Qiutong, Zhao, Kun, Wang, Junbo, Fatholahi, Sarah Narges, Liu, Yan, Hasti Andon Petrosians, Hu, Bingxu, Qing, Liyuan, Zhang, Zhehan, Xu, Hongzhang, Li, Siyu, Gao, Kyle, Xu, Linlin, Li, Jonathan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Aerial surveys Algorithms Comparative studies Deep learning Disaster management Efficiency Image contrast Machine learning Natural disasters Spatial resolution Teaching methods Training
Online-Zugang:	Volltext
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