Analysis of deep complex‐valued convolutional neural networks for MRI reconstruction and phase‐focused applications
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28733
Abstract: Deep learning has had success with MRI reconstruction, but previously published works use real‐valued networks. The few works which have tried complex‐valued networks have not fully assessed their impact on phase. Therefore, the purpose of… read more here.
Keywords: phase; convolutional neural; mri reconstruction; valued convolutional ... See more keywords
Refocusing on SAR Ship Targets With Three-Dimensional Rotating Based on Complex-Valued Convolutional Gated Recurrent Unit
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3188257
Abstract: This letter proposes a complex-valued convolutional gated recurrent unit (CV-ConvGRU) network for the 3-D rotation refocusing task of a synthetic aperture radar (SAR) ship target. To take advantage of the amplitude and phase information of… read more here.
Keywords: sar ship; complex valued; gated recurrent; convolutional gated ... See more keywords
CV-GMTINet: GMTI Using a Deep Complex-Valued Convolutional Neural Network for Multichannel SAR-GMTI System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3047112
Abstract: Motivated by recent advances in deep learning, a novel deep complex-valued convolutional neural network (CV-CNN)-based method is proposed for ground moving target indication (GMTI) in a multichannel synthetic aperture radar (SAR) system. The proposed method… read more here.
Keywords: network; valued convolutional; multichannel sar; complex valued ... See more keywords