UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series

11 April 2023

Patrick Ebel

Vivien Sainte Fare Garnot

M. Schmitt

Jan Dirk Wegner

Xiao Xiang Zhu

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Papers citing "UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series"

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Title
SAR-to-RGB Translation with Latent Diffusion for Earth Observation Kaan Aydin Joelle Hanna Damian Borth DiffM 41 0 0 15 Apr 2025
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks Miro Miranda Francisco Mena A. Dengel OOD 56 0 0 09 Apr 2025
Towards deployment-centric multimodal AI beyond vision and language Xianyuan Liu Jiayang Zhang Shuo Zhou Thijs L. van der Plas Avish Vijayaraghavan ... Gregory G. Slabaugh Roger K. Moore William K. Cheung Peter H. Charlton Haiping Lu 27 0 0 04 Apr 2025
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space Yi Liu Wengen Li Jihong Guan S. Kevin Zhou Yichao Zhang DiffM 51 1 0 31 Mar 2025
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach Francisco Mena Diego Arenas A. Dengel 36 1 0 03 Jan 2025
Attentive Contextual Attention for Cloud Removal Wenli Huang Ye Deng Yang Wu Jinjun Wang 71 1 0 20 Nov 2024
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery Hangyu Zhou Chia-Hsiang Kao Cheng Perng Phoo Utkarsh Mall Bharath Hariharan Kavita Bala 42 0 0 31 Oct 2024
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives Yidan Liu Jun Yue Shaobo Xia Pedram Ghamisi Weiying Xie Leyuan Fang DiffM 42 12 0 13 Apr 2024
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data Francisco Mena Diego Arenas A. Dengel 54 2 0 25 Mar 2024
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images Meilin Wang Yexing Song Pengxu Wei Xiaoyu Xian Yukai Shi Liang Lin DiffM 46 11 0 18 Mar 2024
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges Mikolaj Czerkawski Lorenzo Papa B. L. Saux Irene Amerini 51 3 0 13 Nov 2023
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images Xuechao Zou Keqin Li Junliang Xing Yu-an Zhang Shiying Wang Lei Jin Pin Tao DiffM 26 27 0 08 Aug 2023
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications Francisco Mena Diego Arenas Marlon Nuske Andreas Dengel 31 3 0 20 Dec 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Özgür Türkoglu Alexander Becker H. Gündüz Mina Rezaei Bernd Bischl Rodrigo Caye Daudt Stefano Dáronco Jan Dirk Wegner Konrad Schindler FedML UQCV 38 25 0 31 May 2022
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal Patrick Ebel Yajin Xu M. Schmitt Xiaoxiang Zhu 46 87 0 24 Jan 2022
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks Vivien Sainte Fare Garnot Loic Landrieu AI4TS 71 151 0 16 Jul 2021
Crop mapping from image time series: deep learning with multi-scale label hierarchies Mehmet Özgür Türkoglu Stefano Dáronco Gregor Perich F. Liebisch Constantin Streit Konrad Schindler Jan Dirk Wegner 87 129 0 17 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,455 0 21 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015