Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

As if by magic: self-supervised training of deep despeckling networks with MERLIN



Emanuele Dalsasso , Loïc Denis , Florence Tupin

* To appear on IEEE Transactions on Geoscience and Remote Sensing 

   Access Paper or Ask Questions

Image Restoration for Remote Sensing: Overview and Toolbox



Benhood Rasti , Yi Chang , Emanuele Dalsasso , Loïc Denis , Pedram Ghamisi

* This paper is under review in GRSM 

   Access Paper or Ask Questions

Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation



Nicolas Gasnier , Emanuele Dalsasso , Loïc Denis , Florence Tupin


   Access Paper or Ask Questions

Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning



Emanuele Dalsasso , Inès Meraoumia , Loïc Denis , Florence Tupin


   Access Paper or Ask Questions

A review of deep-learning techniques for SAR image restoration



Loïc Denis , Emanuele Dalsasso , Florence Tupin


   Access Paper or Ask Questions

SAR2SAR: a self-supervised despeckling algorithm for SAR images



Emanuele Dalsasso , Loïc Denis , Florence Tupin

* Article submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Code is made available at https://github.com/emanueledalsasso/SAR2SAR 

   Access Paper or Ask Questions

SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy



Emanuele Dalsasso , Xiangli Yang , Loïc Denis , Florence Tupin , Wen Yang

* Article submitted to Remote Sensing, MDPI. Notebook with Colab compatibility is available at https://github.com/emanueledalsasso/SAR-CNN 

   Access Paper or Ask Questions

1
2
>>