Rooftop extraction method for high spatial resolution remote sensing image based on sparse representation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Rooftop extraction method for high spatial resolution remote sensing image based on sparse representation

Published:2023-02-01 Issue:3 Volume:44 Page:1022-1044
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wang Yongzhi¹²^ORCID,Liao Wenrui²,Hu Xiaoyu²,Lv Hua³,Huang Qi⁴

Affiliation:

1. School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou China

2. School of Architectural and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou, China

3. Department of Surveying and Mapping, Shandong Jintian Surveying and Mapping Geographic Information Co., Ltd, Jintian, China

4. Department of Land Surveying and Mapping Map, Institute of Guandong Province, Guangzhou, China

Funder

Youth Jinggang Scholars Program in Jiangxi Province

Program of Qingjiang Excellent Young Talents, Jiangxi University of Science and Technology

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2173035

Reference36 articles.

1. Effect of urban built form and density on building energy performance in temperate climates

2. Automatic Building Extraction on Satellite Images Using Unet and ResNet50

3. A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery

4. Unsupervised feature selection for multi-cluster data

5. Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

Cited by 2 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 Footprint Extraction from Remote Sensing Images with Residual Attention Multi-Scale Aggregation Fully Convolutional Network;Journal of the Indian Society of Remote Sensing;2024-07-31

2. Multi-threshold remote sensing image segmentation with improved ant colony optimizer with salp foraging;Journal of Computational Design and Engineering;2023-10-16

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