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
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3144619
Abstract: Deep Learning has become a very promising avenue for magnetic resonance image (MRI) reconstruction. In this work, we explore the potential of unrolled networks for non-Cartesian acquisition settings. We design the NC-PDNet (Non-Cartesian Primal Dual… read more here.
Keywords: network; pdnet; mri reconstruction; density compensated ... See more keywords
PDNet: Improved YOLOv5 Nondeformable Disease Detection Network for Asphalt Pavement
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5133543
Abstract: In the daily inspection task of the expressway, accuracy and speed are the two most important indexes to reflect the detection efficiency of nondeformation diseases of asphalt pavement. To achieve model compression, accelerated detection, and… read more here.
Keywords: network; improved yolov5; asphalt pavement; pdnet ... See more keywords