Deep learning-based multi-feature semantic segmentation in building extraction from images of UAV photogrammetry-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep learning-based multi-feature semantic segmentation in building extraction from images of UAV photogrammetry

Published:2020-08-17 Issue:1 Volume:42 Page:1-19
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Boonpook Wuttichai¹²,Tan Yumin¹,Xu Bo³

Affiliation:

1. School of Transportation Science and Engineering, Beihang University, Beijing, China

2. Department of Geography, Srinakharinwirot University, Bangkok, Thailand

3. Department of Geography and Environmental Studies, California State University San Bernardino, San Bernardino, CA, USA

Funder

Project for Follow-up Work in Three Gorges

The Project for Follow-up Work in Three Gorges

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1788742

Reference36 articles.

1. Assessing Spatial Information Themes in the Spatial Information Infrastructure for Participatory Urban Planning Monitoring: Indonesian Cities

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. A Deep Learning Approach on Building Detection from Unmanned Aerial Vehicle-Based Images in Riverbank Monitoring

4. SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks

Cited by 56 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. CNNs for remote extraction of urban features: A survey-driven benchmarking;Expert Systems with Applications;2024-12

2. Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning;Neural Networks;2024-11

3. A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines;International Journal of Digital Earth;2024-08-30

4. Advanced Semi-Automatic Approach for Identifying Damaged Surfaces in Cultural Heritage Sites: Integrating UAVs, Photogrammetry, and 3D Data Analysis;Remote Sensing;2024-08-20

5. An unmanned aerial vehicle based investigation of roof patch suitability for solar panel installation;International Journal of Engineering and Geosciences;2024-07-28

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