Remote sensing change detection technology in the Era of artificial intelligence： Inheritance， development and challenges

Change Detection and Deep Learning | Views:8437Downloads:6615CSCD:25

Export
Share
Collection
Album

Remote sensing change detection technology in the Era of artificial intelligence： Inheritance， development and challenges
- role：First author第一作者
- Affiliation：
  College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China
- Email：sicong.liu@tongji.edu.cn
- Introduction：柳思聪，研究方向为遥感光谱探测与多时相变化检测。E-mail： sicong.liu@tongji.edu.cn
LIU Sicong
1 * ,
- Affiliation：
  College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China
DU Kecheng
1 * ,
- Affiliation：
  College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China
ZHENG Yongjie
1 * ,
- Affiliation：
  State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
CHEN Jin
2 * ,
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
DU Peijun
3 * ,
- Affiliation：
  College of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China
TONG Xiaohua
1 *
Vol. 27, Issue 9, Pages: 1975-1987(2023)
DOI：10.11834/jrs.20222199
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 8 ) Tabs( 0 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Early-season crop classification： Recent developments and prospects

SWSACNet： A change detection network for collapsed buildings extraction using multi-source images

Hybrid spatial pyramid pooling network to change detection for high resolution remote sensing images

Optical-signal token guided change detection network for heterogeneous remote sensing image

High-precision retrieval of suspended sediment concentration in the Yellow River based on Landsat 8： Integration of physical mechanisms and deep learning

Related Author

Sicong LIU 同济大学测绘与地理信息学院

Kecheng DU 同济大学测绘与地理信息学院

Yongjie ZHENG 同济大学测绘与地理信息学院

Jin CHEN 北京师范大学地表过程与资源生态国家重点实验室

Peijun DU 南京大学地理与海洋科学学院

Xiaohua TONG 同济大学测绘与地理信息学院

CHEN Jin 北京师范大学地理科学学部

LIU Tianyu 北京师范大学地理科学学部

Related Institution

Faculty of Geography Science, Beijing Normal University

School of Geography and Planning, Sun Yat-sen University

Institute of Geographic Sciences and Resources, Chinese Academy of Sciences

Aerospace Information Research Institute, Chinese Academy of Sciences

Institute of Earthquake Forecasting, China Earthquake Administration