U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical
Satellite Time Series

U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series

22 May 2023

Corinne Stucker

Vivien Sainte Fare Garnot

Konrad Schindler

Papers citing "U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series"

8 / 8 papers shown

Title
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 34 0 0 31 Oct 2024
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 24 11 0 28 Mar 2023
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal Patrick Ebel Yajin Xu M. Schmitt Xiaoxiang Zhu 38 86 0 24 Jan 2022
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles Alexander Becker S. Russo Stefano Puliti Nico Lang Konrad Schindler Jan Dirk Wegner 23 40 0 25 Nov 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks Vivien Sainte Fare Garnot Loic Landrieu AI4TS 69 150 0 16 Jul 2021
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task C. Requena-Mesa V. Benson Markus Reichstein J. Runge Joachim Denzler 66 50 0 16 Apr 2021
An Internal Learning Approach to Video Inpainting Haotian Zhang Long Mai N. Xu Zhaowen Wang John Collomosse Hailin Jin 48 70 0 17 Sep 2019
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 142 1,912 0 20 Apr 2018