A position-aware attention network with progressive detailing for land use semantic segmentation of Remote Sensing images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A position-aware attention network with progressive detailing for land use semantic segmentation of Remote Sensing images

Published:2023-11-02 Issue:21 Volume:44 Page:6762-6801
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Feng Jiangfan¹^ORCID,Zheng Wei¹^ORCID,Gu Zhujun²^ORCID,Guo Dongen³^ORCID,Qin Rui¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Pearl River Water Resources Research Institute, Pearl River Water Resources Commission, Guangzhou, China

3. School of Computer and Software, Nanyang Institute of Technology, Nanyang, China

Funder

National Natural Science Foundation of China

Major Science and Technology Project of the Ministry of Water Resources

Chongqing Higher Education Teaching Reform Research Project

Chongqing Graduate Research Innovation Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2274820

Reference42 articles.

1. Ontology-based classification of remote sensing images using spectral rules

2. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

3. Advances in Very-High-Resolution Remote Sensing [Scanning the Issue]

4. SDFCNv2: An Improved FCN Framework for Remote Sensing Images Semantic Segmentation

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. High-resolution feature pyramid attention network for high spatial resolution images land-cover classification in arid oasis zones;International Journal of Remote Sensing;2024-05-21

2. A Lightweight Transformer With Multigranularity Tokens and Connected Component Loss for Land Cover Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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