Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery

A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1 and Sentinel-2 Analysis Ready Data

(2022) Priti Upadhyay et al.   Remote Sensing

Deep Learning Based Thin Cloud Removal Fusing Vegetation Red Edge and Short Wave Infrared Spectral Information for Sentinel-2A Imagery

(2021) Jun Li et al.   Remote Sensing

Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images

(2021) Qiang Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep Image Prior

(2020) Dmitry Ulyanov et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks

(2020) Jianhao Gao et al.   Remote Sensing

Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion

(2020) Andrea Meraner et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery

(2020) Patrick Ebel et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Integrated method for rice cultivation monitoring using Sentinel-2 data and Leaf Area Index

(2020) Abdelraouf M. Ali et al.   Egyptian Journal of Remote Sensing and Space Sciences

Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data

(2019) Gómez et al.   Remote Sensing

Synthesis of Multispectral Optical Images From SAR/Optical Multitemporal Data Using Conditional Generative Adversarial Networks

(2019) Jose D. Bermudez et al.   IEEE Geoscience and Remote Sensing Letters

Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy

(2018) Vasileios Sitokonstantinou et al.   Remote Sensing

Cloud Removal From Optical Satellite Imagery With SAR Imagery Using Sparse Representation

(2015) Bo Huang et al.   IEEE Geoscience and Remote Sensing Letters

Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

(2014) Xinghua Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An effective thin cloud removal procedure for visible remote sensing images

(2014) Huanfeng Shen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Missing-Area Reconstruction in Multispectral Images Under a Compressive Sensing Perspective

(2013) Luca Lorenzi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method

(2013) Chao Zeng et al.   REMOTE SENSING OF ENVIRONMENT

Cloud Removal From Multitemporal Satellite Images Using Information Cloning

(2012) Chao-Hung Lin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland

(2012) Laura Poggio et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images

(2011) Xiaolin Zhu et al.   IEEE Geoscience and Remote Sensing Letters

A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

(2011) Jin Chen et al.   REMOTE SENSING OF ENVIRONMENT

Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images

(2010) Arnt-Børre Salberg   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Bandelet-Based Inpainting Technique for Clouds Removal From Remotely Sensed Images

(2009) A. Maalouf et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING