SAR Image Despeckling Using a Convolutional Neural Network

Synthetic aperture radar (SAR) images are often contaminated by a multiplicative noise known as speckle. Speckle makes the processing and interpretation of SAR images difficult. We propose a deep-learning-based approach called, image despeckling convolutional neural network (ID-CNN), for automatical...

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Veröffentlicht in:	IEEE signal processing letters 2017-12, Vol.24 (12), p.1763-1767
Hauptverfasser:	Puyang Wang, He Zhang, Patel, Vishal M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolution Denoising despecking Image restoration Noise measurement Speckle Synthetic aperture radar synthetic aperture radar (SAR) Training
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