Art

J-GLOBAL ID：202302277877761275   Reference number：23A0860509

A Combined Convolutional Neural Network for Urban Land-Use Classification with GIS Data

GISデータによる都市土地利用分類のための複合畳込みニューラルネットワーク【JST・京大機械翻訳】

Author (8)： Yu Jie (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China) ,  Yu Jie (Office of Science and Technology Development, Wuhan University, Wuhan 430072, China) ,  Zeng Peng (Hunan Institute of Land and Resources Planning, Changsha 410007, China) ,  Zeng Peng (Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China) ,  Yu Yaying (Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China) ,  Yu Hongwei (Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China) ,  Huang Liang (China Academy of Civil Aviation Science and Technology, Beijing 100028, China) ,  Zhou Dongbo (Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China)
Material： Remote Sensing (Web)
Volume： 14  Issue： 5  Page： 1128  Publication year： 2022 
JST Material Number： U7270A  ISSN： 2072-4292  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： The classification of urban la...

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Thesaurus term： semantics ,  database ,  *network ,  *classification ,  urban planning ,  *land use ,  *city ,  *land ,  remote sensing ,  image pickup apparatus ,  *measurement data ,  high-resolution ,  land cover ,  machine learning
Semi thesaurus term： *GISデータ ,  深層学習 ,  *土地利用分類 ,  *畳込みニューラルネットワーク , 【Automatic Indexing@JST】

Author keywords (4)： urban land-use classification ,  semantic segmentation ,  remote sensing ,  deep convolutional neural network (DCNN)

JST classification (3)： Photogrammetry,aerial photograph  (RC02040D) ,  Land use in general,zoning  (RD02010Z) ,  Processing of topographic data  (RC02050O)

Reference (53)：

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• Beykaei, S.A.; Zhong, M.; Shiravi, S.; Zhang, Y. A Hierarchical Rule-Based Land Use Extraction System Using Geographic and Remotely Sensed Data: A Case Study for Residential Uses. Transp. Res. Part C Emerg. Technol. 2014, 47, 155-167.
• Zhang, J.; Li, P.; Wang, J. Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture. Remote Sens. 2014, 6, 7339-7359.
• Shang, R.; Zhang, J.; Jiao, L.; Li, Y.; Marturi, N.; Stolkin, R. Multi-Scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images. Remote Sens. 2020, 12, 872.
• Ronneberger, O.; Fischer, P.; Brox, T. U-Net: Convolutional Networks for Biomedical Image Segmentation. In Proceedings of the Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015, Munich, Germany, 5-9 October 2015; Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F., Eds.; Springer International Publishing: Cham, Switzerland, 2015; pp. 234-241.

Terms in the title (4)： GISデータ ,  都市 ,  土地利用分類 ,  畳込みニューラルネットワーク