Pseudo Quad-Pol Simulation From Compact Polarimetric SAR Data via a Complex-Valued Dual-Branch Convolutional Neural Network

Author:

Zhang FanORCID,Cao Zhuoyue,Xiang DeliangORCID,Hu Canbin,Ma FeiORCID,Yin QiangORCID,Zhou YongshengORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Study of Recovering Quad-Polarimetric Information from SLC/MLC Compact-Polarimetric SAR Data via CNNS;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Urban Damage-Level Estimation With Reconstructed Quad-Pol SAR Data From Dual-Pol SAR Mode;IEEE Geoscience and Remote Sensing Letters;2024

3. Quad-Pol SAR Data Reconstruction from Dual-Pol SAR Mode Based on a Multiscale Feature Aggregation Network;Remote Sensing;2023-08-25

4. Chinese Continuous Speech Instruction Recognition Method Based on Improved Convolutional Neural Network in Noisy Background;2023 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE);2023-08-18

5. An Improved Dual Polarimetric SAR Quad-Pol Image Reconstruction Method Based on Full Convolutional End-to-End Neural Network;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

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