Swin-CFNet: An Attempt at Fine-Grained Urban Green Space Classification Using Swin Transformer and Convolutional Neural Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Swin-CFNet: An Attempt at Fine-Grained Urban Green Space Classification Using Swin Transformer and Convolutional Neural Network

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Wu Yehong¹^ORCID,Zhang Meng¹^ORCID

Affiliation:

1. College of Forestry, Central South University of Forestry and Technology, Changsha, China

Funder

National Natural Science Foundation of China

Key Laboratory of Natural Resources Monitoring and Supervision in the Southern Hilly Region, Ministry of Natural Resources

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10537188.pdf?arnumber=10537188

Reference21 articles.

1. A Survey on Mapping of Urban Green Spaces within Remote Sensing Data Using Machine Learning & Deep Learning Techniques

2. Novel Adaptive Region Spectral–Spatial Features for Land Cover Classification With High Spatial Resolution Remotely Sensed Imagery

3. Urban Forest Identification from High-Resolution Images Using Deep-Learning Method

4. An Automatic Extraction Architecture of Urban Green Space Based on DeepLabv3plus Semantic Segmentation Model

5. Forest Mapping Using a VGG16-UNet++& Stacking Model Based on Google Earth Engine in the Urban Area

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