LightCDNet: Lightweight Change Detection Network Based on VHR Images
Author:
Affiliation:
1. Information Technology Office, Central South Inventory and Planning Institute of National Forestry and Grassland Administration, Changsha, China
2. College of Forestry, Central South University of Forestry and Technology, Changsha, China
Funder
Technology Innovation Plan Project of Hunan Provincial Forestry Department
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10214556.pdf?arnumber=10214556
Reference16 articles.
1. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
2. ShuffleNet V2: Practical guidelines for efficient CNN architecture design;ma;Proc Eur Conf Comput Vis (ECCV),2018
3. Fully Convolutional Siamese Networks for Change Detection
4. CGNet: A Light-Weight Context Guided Network for Semantic Segmentation
5. LSNET: Extremely Light-Weight Siamese Network for Change Detection of Remote Sensing Image
Cited by 9 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. AMFNet: Attention-Guided Multi-Scale Fusion Network for Bi-Temporal Change Detection in Remote Sensing Images;Remote Sensing;2024-05-16
2. Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms;Remote Sensing;2024-02-25
3. Cross-Perception and Hierarchical Similarity Metric Network for Remote Sensing Image Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. Remote-Sensing Image Change Detection Based on Adjacent-Level Feature Fusion and Dense Skip Connections;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
5. BGSINet-CD: Bitemporal Graph Semantic Interaction Network for Remote-Sensing Image Change Detection;IEEE Geoscience and Remote Sensing Letters;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