SAR Image Despeckling Using a Convolutional Neural Network

Abstract

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 automatically removing speckle from the input noisy images. In… (More)
DOI: 10.1109/LSP.2017.2758203

Topics

9 Figures and Tables