Image restoration for remote sensing: Overview and toolbox
InSAR technology provides a powerful tool to detect potentially unstable slopes across wide
areas and to monitor surface displacements of a single landslide. However, conventional …
areas and to monitor surface displacements of a single landslide. However, conventional …
SAR2SAR: A semi-supervised despeckling algorithm for SAR images
Speckle reduction is a key step in many remote sensing applications. By strongly affecting
synthetic aperture radar (SAR) images, it makes them difficult to analyze. Due to the difficulty …
synthetic aperture radar (SAR) images, it makes them difficult to analyze. Due to the difficulty …
Sar-to-optical image translation based on conditional generative adversarial networks—Optimization, opportunities and limits
Due to its all time capability, synthetic aperture radar (SAR) remote sensing plays an
important role in Earth observation. The ability to interpret the data is limited, even for …
important role in Earth observation. The ability to interpret the data is limited, even for …
Speckle2Void: Deep self-supervised SAR despeckling with blind-spot convolutional neural networks
Information extraction from synthetic aperture radar (SAR) images is heavily impaired by
speckle noise, and hence, despeckling is a crucial preliminary step in scene analysis …
speckle noise, and hence, despeckling is a crucial preliminary step in scene analysis …