UniRT: A Unified Framework for Time-Series Remote Sensing Image Reconstruction and Change Detection

Haiyan Huang; Zhenfeng Shao; Chen Zhong; Duowang Zhu; Wenlan Zhang

doi:https://doi.org/10.5194/egusphere-egu26-7703

[Back] [Session ESSI1.4]

EGU26-7703, updated on 14 Mar 2026

https://doi.org/10.5194/egusphere-egu26-7703

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

UniRT: A Unified Framework for Time-Series Remote Sensing Image Reconstruction and Change Detection

Haiyan Huang^1,2, Zhenfeng Shao¹, Chen Zhong², Duowang Zhu¹, and Wenlan Zhang²

Haiyan Huang et al.

¹State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
²Centre for Advanced Spatial Analysis, University College of London, London, UK

How to cite: Huang, H., Shao, Z., Zhong, C., Zhu, D., and Zhang, W.: UniRT: A Unified Framework for Time-Series Remote Sensing Image Reconstruction and Change Detection, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-7703, https://doi.org/10.5194/egusphere-egu26-7703, 2026.

This abstract has been withdrawn on 30 Apr 2026.