PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks

Sentinel-2 Sharpening via Parallel Residual Network

(2020) Jiemin Wu et al.   Remote Sensing

Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest

(2020) Alber Hamersson Sanchez et al.   Remote Sensing

Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure

(2019) Louis Baetens et al.   Remote Sensing

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Normalization method for multi-sensor high spatial and temporal resolution satellite imagery with radiometric inconsistencies

(2019) Nicholas Leach et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Sentinel-2 Sharpening Using a Reduced-Rank Method

(2019) Magnus O. Ulfarsson et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spatial–Spectral Fusion in Different Swath Widths by a Recurrent Expanding Residual Convolutional Neural Network

(2019) He et al.   Remote Sensing

Deep Self-Learning Network for Adaptive Pansharpening

(2019) Jie Hu et al.   Remote Sensing

Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks

(2019) Massimiliano Gargiulo et al.   Remote Sensing

Sentinel-2A Image Fusion Using a Machine Learning Approach

(2019) Jing Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product

(2019) Zhenfeng Shao et al.   REMOTE SENSING OF ENVIRONMENT

Remote Sensing Image Fusion With Deep Convolutional Neural Network

(2018) Zhenfeng Shao et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data

(2018) Rasmus Houborg et al.   REMOTE SENSING OF ENVIRONMENT

Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data

(2018) Rasmus Houborg et al.   Remote Sensing

Sentinel-2 Image Fusion Using a Deep Residual Network

(2018) Frosti Palsson et al.   Remote Sensing

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

(2018) Charis Lanaras et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges

(2018) Xiangchao Meng et al.   Information Fusion

Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

(2017) Yancong Wei et al.   IEEE Geoscience and Remote Sensing Letters

Fusion of Landsat 8 OLI and Sentinel-2 MSI Data

(2017) Qunming Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Pixel-level image fusion: A survey of the state of the art

(2017) Shutao Li et al.   Information Fusion

AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

(2017) Daniel Scheffler et al.   Remote Sensing

A review of remote sensing image fusion methods

(2016) Hassan Ghassemian   Information Fusion

A Review of Image Fusion Algorithms Based on the Super-Resolution Paradigm

(2016) Andrea Garzelli   Remote Sensing

A Critical Comparison Among Pansharpening Algorithms

(2015) Gemine Vivone et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Advances in Very-High-Resolution Remote Sensing [Scanning the Issue]

(2013) Jon Atli Benediktsson et al.   PROCEEDINGS OF THE IEEE

Very High-Resolution Remote Sensing: Challenges and Opportunities [Point of View]

(2012) Jon Atli Benediktsson et al.   PROCEEDINGS OF THE IEEE

An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

(2010) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT