会议信息

RSMBD 2026: International Conference on Remote Sensing, Measurement and Big Data

请登录查看会议网址
免费注册:查看官网链接、跟踪截稿日期,并接收邮件提醒。
截稿日期:
2026-03-10 延期
通知日期:
2026-04-22
会议日期:
2026-05-15
会议地点:
Changsha, China
届数:
2
浏览: 1964   关注: 0   参加: 0
嵌入截止倒计时徽章
RSMBD
用 API 获取这条数据
搜索与榜单列表完全无需凭证;本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

会伴指数 (CP-I)

39.9 / 100
全站第 5,091 名 / 共 5,697 个会议 · 前 90%

数据挖掘与数据库 第 305 / 336 电气与电子工程 第 455 / 512

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
12
资料公开度 (15%)
35

用到的输入: 有据可查的届次:2 · 过去 24 个月打开过本页的研究者:4 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-12

征稿

RSMBD 2026 (International Conference on Remote Sensing, Measurement and Big Data) is an academic conference held in Changsha, China on 2026-05-15. The paper submission deadline is 2026-03-10 (extended). Acceptance notifications are sent on 2026-04-22.

We warmly welcome scholars from all over the world to actively submit and participate. Let us witness the development and progress of Remote Sensing, Measurement and Big Data together on this platform, and paint a blueprint for the future together. Remote Sensing > Application of Computer Vision and Machine Learning in Remote Sensing and Surveying > Application of remote sensing technology in environmental monitoring and resource management > Applications of Remote Sensing in Environmental and Resource Management > Computer algorithms and models based on remote sensing data monitoring > Design innovation of photon technology in remote sensing devices > Disaster Monitoring and Early Warning > Hyperspectral Remote Sensing > Intelligent Remote Sensing and Artificial Intelligence Integration > Interdisciplinary Applications of Remote Sensing > Microwave Remote Sensing > Novel Remote Sensing Sensors and Platforms > Optical Remote Sensing > Photon enhancement technique for remote sensing data > Radar Remote Sensing > Remote Sensing Data Preprocessing and Correction > Remote sensing data preprocessing and correction methods > Remote sensing data fusion and feature extraction > Spatio-temporal Data Fusion > Sustainable Remote Sensing Technologies Measurement > Applications of Measurement Technologies in Infrastructure Monitoring > High-Precision Measurement Technologies and Methods > Multi-Sensor Data Fusion and Measurement >Quantum Remote Sensing and Measurement Technologies Big Data > Big Data Analysis and Processing > Big Data-Driven Environmental Monitoring and Decision Support > Fusion of Novel Measurement and Big Data Technologies > Intelligent Analysis and Mining of Remote Sensing Big Data > Remote sensing big data > Search, Mining and Visualization of Big Data > Storage and Computing for Remote Sensing Big Data
由 Dou Sun 最后更新于

相关会议

CCFICORECP-I简称全称截稿日期会议日期
39.8Big DataInternational Conference on Big Data2014-04-302014-08-04
AA*95.6SIGIRInternational Conference on Research and Development in Information Retrieval2027-01-142027-07-18
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.5CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.2IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92.7STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.5ICCInternational Conference on Communications2026-10-022027-05-30
CB62.8IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16

相关期刊

CCF全称影响因子出版商ISSN
Measurement5.2Elsevier0263-2241
CIEEE Geoscience and Remote Sensing Letters4.4IEEE1545-598X
Sensing and Bio-Sensing Research4.9Elsevier2214-1804
ISPRS Journal of Photogrammetry and Remote Sensing12.2Elsevier0924-2716
Automation and Remote Control0.5Springer0005-1179
Measurement: SensorsElsevier2665-9174
Measurement and Control1.300SAGE0020-2940
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
AIEEE Transactions on Multimedia9.7IEEE1520-9210

评论 0

暂无评论。

请登录后发表评论