An Unsupervised CNN-Based Multichannel Interferometric Phase Denoising Method Applied to TomoSAR Imaging
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3263964
Abstract: Tomographic synthetic aperture radar (TomoSAR) is an advanced SAR interferometric technique to retrieve 3-D spatial information. However, the standard deviation in the reconstructed elevation could be high due to the noise in the interferometric phases,… read more here.
Keywords: multichannel interferometric; interferometric phase; phase; phase denoising ... See more keywords
PDNet: A Lightweight Deep Convolutional Neural Network for InSAR Phase Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3224030
Abstract: Interferometric phase denoising is a vital procedure for interferometric synthetic aperture radar (InSAR)-based remote sensing techniques because it can improve the accuracy of the final InSAR product. Here, we propose a deep convolutional neural network… read more here.
Keywords: pdnet; inline formula; phase denoising; tex math ... See more keywords