3-D Instance Segmentation of MVS Buildings
Author:
Affiliation:
1. School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
2. Faculty of Architecture and the Built Environment, Delft University of Technology, Delft, The Netherlands
Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09797751.pdf?arnumber=9797751
Reference69 articles.
1. SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
2. Graph Convolutional Networks for Hyperspectral Image Classification
3. Topological Map Extraction From Overhead Images
4. SEMANTIC SEGMENTATION OF AERIAL IMAGES IN URBAN AREAS WITH CLASS-SPECIFIC HIGHER-ORDER CLIQUES
5. BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
Cited by 10 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. Compound 3D building modeling with structure-aware partition and primitive assembly from airborne laser scanning point clouds;International Journal of Digital Earth;2024-07-09
2. UMeshSegNet: Semantic Segmentation of 3D Mesh Generated from UAV Photogrammetry *;2024 IEEE 18th International Conference on Control & Automation (ICCA);2024-06-18
3. Improving Three-Dimensional Building Segmentation on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction;ISPRS International Journal of Geo-Information;2024-01-07
4. UAVPal: A New Dataset for Semantic Segmentation in Complex Urban Landscape With Efficient Multiscale Segmentation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
5. 3-D Building Instance Extraction From High-Resolution Remote Sensing Images and DSM With an End-to-End Deep Neural Network;IEEE Transactions on Geoscience and Remote Sensing;2024
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