Qinglong Hua
Orcid: 0000-0001-8963-6651
According to our database1,
Qinglong Hua
authored at least 18 papers
between 2017 and 2024.
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Bibliography
2024
Division and Focusing of Multiple Moving Ship Targets for GEO SAR via MFDFrFT Spectrum Analysis.
IEEE Trans. Geosci. Remote. Sens., 2024
SmaDS-SiamUnet: A Small Dual-Stream Network for Change Detection of Dual-Sensor Data.
IEEE Geosci. Remote. Sens. Lett., 2024
A Novel Moving Ship Target Refocusing Algorithm by HFSWR Information Assisted SAR-GMTI System.
Proceedings of the IGARSS 2024, 2024
CRIA: An Enhancement Method For CV-CNN Based on Cross-Fusion of Complex Information of Real and Imaginary Activations.
Proceedings of the IGARSS 2024, 2024
PEE-Net: Phase Error Estimation Network for Refocusing of Three-Dimensional Rotating Ship Target in SAR Images.
Proceedings of the IGARSS 2024, 2024
2023
CV-CFUNet: Complex-Valued Channel Fusion UNet for Refocusing of Ship Targets in SAR Images.
IEEE Trans. Aerosp. Electron. Syst., August, 2023
A Self-Supervised Method Based on CV-MUNet++ for Active Jamming Suppression in SAR Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Gaussian-type activation function with learnable parameters in complex-valued convolutional neural network and its application for PolSAR classification.
Neurocomputing, 2023
Rotation Speed Estimation of SAR Ship Target Based on Complex-Valued Convolutional Long Short-Term Memory Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Recognition of Three-Dimensional Rotating Ship Target for SAR Images Based on Complex-Valued Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
An Approach of Sea Clutter Suppression for SAR Images by Self-Supervised Complex-Valued Deep Learning.
IEEE Geosci. Remote. Sens. Lett., 2022
Refocusing on SAR Ship Targets With Three-Dimensional Rotating Based on Complex-Valued Convolutional Gated Recurrent Unit.
IEEE Geosci. Remote. Sens. Lett., 2022
Refocusing of Ship Target under Three-Dimensional Rotating in SAR Based on Complex-Valued Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
CV-RotNet: Complex-Valued Convolutional Neural Network for SAR three-dimensional rotating ship target recognition.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
CV-MotionNet: Complex-Valued Convolutional Neural Network for SAR Moving Ship Targets Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2019
A Complex-Valued CNN for Different Activation Functions in Polarsar Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Proceedings of the Communications, Signal Processing, and Systems, 2017