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Ya-Qiu Jin

Ya-Qiu Jin

D-Index & Metrics

Computer Science

D-Index
32
Citations
6557
World Ranking
12941
National Ranking
1590

Overview

Ya-Qiu Jin is affiliated with Fudan University in China and primarily works within the fields of engineering and physics and astronomy. Their research output extensively covers aerospace engineering and electrical and electronic engineering, along with atomic and molecular physics and computational mechanics as noted subfields.

The scientist's main topics of work include:

  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Planetary Science and Exploration
  • Advanced Antenna and Metasurface Technologies
  • Electromagnetic Scattering and Analysis
  • Microwave Imaging and Scattering Analysis
  • Metamaterials and Metasurfaces Applications

Ya-Qiu Jin has published extensively in several prominent venues, notably:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Antennas and Propagation
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • arXiv (Cornell University)

Recent papers authored or co-authored by Ya-Qiu Jin include:

  • "L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image," 2020, published in IEEE Transactions on Geoscience and Remote Sensing
  • "Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models," 2020, published in IEEE Geoscience and Remote Sensing Magazine
  • "Reciprocal translation between SAR and optical remote sensing images with cascaded-residual adversarial networks," 2021, published in Science China Information Sciences
  • "A 2-bit Reconfigurable Metasurface With Real-Time Control for Deflection, Diffusion, and Polarization," 2023, published in IEEE Transactions on Antennas and Propagation
  • "Learning to Generate SAR Images With Adversarial Autoencoder," 2021, published in IEEE Transactions on Geoscience and Remote Sensing

The scientist frequently collaborates with several co-authors, including Feng Xu, Niutao Liu, Haiyang Fu, Guo-Min Yang, and Yun Sui.

Best Publications

  • Target Classification Using the Deep Convolutional Networks for SAR Images

    Sizhe Chen;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification

    Zhimian Zhang;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks

    Yu Zhou;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Electromagnetic Scattering Modelling for Quantitative Remote Sensing

    Ya-Qiu Jin

  • L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image

    Anwen Wu;Yumao Wu;Yaqiu Jin;Yaru Wang

  • Deorientation theory of polarimetric scattering targets and application to terrain surface classification

    Feng Xu;Ya-Qiu Jin

  • Bidirectional Analytic Ray Tracing for Fast Computation of Composite Scattering From Electric-Large Target Over a Randomly Rough Surface

    Feng Xu;Ya-Qiu Jin

  • Automatic Reconstruction of Building Objects From Multiaspect Meter-Resolution SAR Images

    Feng Xu;Ya-Qiu Jin

  • Quantitative estimation of helium-3 spatial distribution in the lunar regolith layer

    Wenzhe Fa;Ya-Qiu Jin

  • A primary analysis of microwave brightness temperature of lunar surface from Chang-E 1 multi-channel radiometer observation and inversion of regolith layer thickness

    Wenzhe Fa;Ya-Qiu Jin

  • Imaging Simulation of Polarimetric SAR for a Comprehensive Terrain Scene Using the Mapping and Projection Algorithm

    Feng Xu;Ya-Qiu Jin

  • Parameterization of the tapered incident wave for numerical simulation of electromagnetic scattering from rough surface

    Hongxia Ye;Ya-Qiu Jin

  • Inversion of surface parameters from passive microwave measurements over a soybean field

    Jean-Pierre Wigneron;Yann Kerr;André Chanzy;Ya-Qiu Jin

  • Application of deep-learning algorithms to MSTAR data

    Haipeng Wang;Sizhe Chen;Feng Xu;Ya-Qiu Jin

  • The finite-element method with domain decomposition for electromagnetic bistatic scattering from the comprehensive model of a ship on and a target above a large-scale rough sea surface

    Peng Liu;Ya-Qiu Jin

  • Bistatic Scattering From a Three-Dimensional Object Over a Randomly Rough Surface Using the FDTD Algorithm

    Lei Kuang;Ya-Qiu Jin

  • A Hybrid Analytic-Numerical Algorithm of Scattering From an Object Above a Rough Surface

    Hongxia Ye;Ya-Qiu Jin

  • Fast iterative approach to difference scattering from the target above a rough surface

    Hongxia Ye;Ya-Qiu Jin

  • Biomass retrieval from high-dimensional active/passive remote sensing data by using artificial neural networks

    Y.-Q. Jin;C. Liu

  • Suspended sediment concentrations in the Yangtze River estuary retrieved from the CMODIS data

    Z. Han;Y.‐Q. Jin;C.‐X. Yun

  • Reciprocal translation between SAR and optical remote sensing images with cascaded-residual adversarial networks

    Shilei Fu;Feng Xu;Ya-Qiu Jin

  • Aspects of radar imaging using frequency-stepped chirp signals

    Qun Zhang;Ya-Qiu Jin

  • Analysis of the Effects of Faraday Rotation on Spaceborne Polarimetric SAR Observations at $\hbox{P}$ -Band

    Ren-Yuan Qi;Ya-Qiu Jin

  • A Backscattering Model of Rainfall Over Rough Sea Surface for Synthetic Aperture Radar

    Feng Xu;Xiaofeng Li;Peng Wang;Jingsong Yang

  • Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models

    Dong-Xiao Yue;Feng Xu;Alejandro C. Frery;Ya-Qiu Jin

  • Three-Dimensional Reconstruction From a Multiview Sequence of Sparse ISAR Imaging of a Space Target

    Feng Wang;Feng Xu;Ya-Qiu Jin

Frequent Co-Authors

K. Kinoshita
K. Kinoshita University of Cincinnati
L. E. Piilonen
L. E. Piilonen Virginia Tech
S. Ogawa
S. Ogawa Toho University

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