Image Restoration for Remote Sensing: Overview and Toolbox

@article{Rasti2021ImageRF,
  title={Image Restoration for Remote Sensing: Overview and Toolbox},
  author={Benhood Rasti and Yi Chang and Emanuele Dalsasso and Lo{\"i}c Denis and Pedram Ghamisi},
  journal={IEEE Geoscience and Remote Sensing Magazine},
  year={2021}
}
This paper is under review in IEEE Geoscience and Remote Sensing Magazine. Remote sensing provides valuable information about objects or areas from a distance in either active (e.g., RADAR and LiDAR) or passive (e.g., multispectral and hyperspectral) modes. The quality of data acquired by remotely sensed imaging sensors (both active and passive) is often degraded by a variety of noise types and artifacts. Image restoration, which is a vibrant field of research in the remote sensing community… Expand
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