A CNN-Based Approach for Automatic Building Detection and Recognition of Roof Types Using a Single Aerial Image
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Instrumentation,Geography, Planning and Development
Link
http://link.springer.com/article/10.1007/s41064-018-0060-5/fulltext.html
Reference71 articles.
1. Alidoost F, Arefi H (2016) Knowledge based 3D building model recognition using convolutional neural networks from lidar and aerial imageries. Int Arch Photogramm Remote Sens Spat Inf Sci XLI-B3:833–840. https://doi.org/10.5194/isprsarchives-xli-b3-833-2016
2. Awrangjeb M, Zhang C, Fraser CS (2013) Automatic extraction of building roofs using lidar data and multispectral imagery. ISPRS J Photogramm Remote Sens 83:1–18. https://doi.org/10.1016/j.isprsjprs.2013.05.006
3. Ballard DH, Brown CM (1982) Computer vision. Prentice-Hall Inc, New Jersey
4. Benedek C, Descombes X, Zerubia J (2012) Building development monitoring in multitemporal remotely sensed image pairs with stochastic birth-death dynamics. IEEE Trans Pattern Anal Mach Intell 34(1):33–50. https://doi.org/10.1109/TPAMI.2011.94
5. Bengio Y (2009) Learning deep architectures for AI. Found Trends® Mach Learn 2(1):1–127. https://doi.org/10.1561/2200000006 .
Cited by 33 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. ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
2. BCD-Net: building change detection based on fully scale connected U-Net and subpixel convolution;International Journal of Remote Sensing;2023-12-02
3. Semi-Supervised Building Detection from High-Resolution Remote Sensing Imagery;Sustainability;2023-08-01
4. Rooftop Surfaces and Types Identification Using VHR Satellite Images for Electrification Potentiel in Africa;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
5. Large-Scale LoD2 Building Modeling using Deep Multimodal Feature Fusion;Canadian Journal of Remote Sensing;2023-07-12
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