Automatic classification of rural building characteristics using deep learning methods on oblique photography-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Automatic classification of rural building characteristics using deep learning methods on oblique photography

Published:2021-12-15 Issue:6 Volume:15 Page:1161-1174
ISSN:1996-3599
Container-title:Building Simulation
language:en
Short-container-title:Build. Simul.

Author:

Meng Chengyu,Song Yuwei,Ji Jiaqi,Jia Ziyu,Zhou Zhengxu,Gao Peng,Liu Sunxiangyu

Publisher

Springer Science and Business Media LLC

Subject

Energy (miscellaneous),Building and Construction

Link

https://link.springer.com/content/pdf/10.1007/s12273-021-0872-x.pdf

Reference79 articles.

1. Bengio Y (2009). Learning Deep Architectures for AI. Boston: Now Publishers Inc.

2. Biljecki F, Ito K (2021). Street view imagery in urban analytics and GIS: A review. Landscape and Urban Planning, 215: 104217.

3. Cai J, Li B, Yu W, et al. (2020). Household dampness and their associations with building characteristics and lifestyles: Repeated cross-sectional surveys in 2010 and 2019 in Chongqing, China. Building and Environment, 183: 107172.

4. Chen L-C, Barron JT, Papandreou G, et a. (2016). Semantic image segmentation with task-specific edge detection using CNNs and a discriminatively trained domain transform. In:Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA.

5. Cheng G, Han J (2016). A survey on object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 117: 11–28.

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated detection of exterior cladding material in urban area from street view images using deep learning;Journal of Building Engineering;2024-11

2. Effectiveness of Image Augmentation Techniques on Detection of Building Characteristics from Street View Images Using Deep Learning;Journal of Construction Engineering and Management;2024-10

3. Association between multilevel landscape characteristics and rural sustainability: A case study of the water-net region in the Yangtze River Delta, China;Ecological Informatics;2024-09

4. Effects of various information scenarios on layer-wise relevance propagation-based interpretable convolutional neural networks for air handling unit fault diagnosis;Building Simulation;2024-08-19

5. Predicting building characteristics at urban scale using graph neural networks and street-level context;Computers, Environment and Urban Systems;2024-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3