Building Type Classification with Incomplete Labels
Author:
Affiliation:
1. Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany
2. Remote Sensing Technology, Technical University of Munich (TUM),Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884076.pdf?arnumber=9884076
Reference14 articles.
1. Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks
2. Building segmentation through a gated graph convolutional neural network with deep structured feature embedding
3. Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images
Cited by 3 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. Building Attributes Recognition with Noisy and Incomplete Labels;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2024
3. A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes;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