Yan Wu

Orcid: 0000-0001-7502-2341

Affiliations:

Xidian University, Remote Sensing Image Processing and Fusion Group, Xi'an, China
Xidian University, National Key Laboratory of Radar Signal Processing, Xi'an, China

According to our database¹, Yan Wu authored at least 100 papers between 2004 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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Bibliography

2024

Revisiting Local and Global Descriptor-Based Metric Network for Few-Shot SAR Target Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Unsupervised Difference-Guided Adaptive Fusion Network for Change Detection in PolSAR Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Position-Aware Graph Neural Network for Few-Shot SAR Target Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Novel Dual-Branch Global and Local Feature Extraction Network for SAR and Optical Image Registration.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Dual Attention-Based Global-Local Feature Extraction Network for Unsupervised Change Detection in PolSAR Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

PolSAR-MPIformer: A Vision Transformer Based on Mixed Patch Interaction for Dual-Frequency PolSAR Image Adaptive Fusion Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Remote Sensing Scene Classification Based on Semantic-Aware Fusion Network.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2024

A Multi-decision Fusion Strategy for PolSAR Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Data Storage and Data Engineering, 2024

2023

Unsupervised change detection in PolSAR images using siamese encoder-decoder framework based on graph-context attention network.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, November, 2023

GLF-Net: A Semantic Segmentation Model Fusing Global and Local Features for High-Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

Remote. Sens., October, 2023

Difference-guided multiscale graph convolution network for unsupervised change detection in PolSAR images.

[BibT_eX]

[DOI]

Neurocomputing, October, 2023

A Computationally Efficient Airborne Forward-Looking Super-Resolution Imaging Method Based on Sparse Bayesian Learning.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Intra- and Inter-Modal Graph Attention Network and Contrastive Learning for SAR and Optical Image Registration.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Multifrequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

HDTFF-Net: Hierarchical Deep Texture Features Fusion Network for High-Resolution Remote Sensing Scene Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Automatic Registration Algorithm for SAR and Optical Images Based on Shearlet and Sparse Representation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

A Novel Lightweight Attention-Discarding Transformer for High-Resolution SAR Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Semi-Supervised Classification of Dual-Frequency PolSAR Image Using Joint Feature Learning and Cross Label-Information Network.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High-Resolution SAR Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Real Aperture Radar Forward-Looking Imaging Based on Variational Bayesian in Presence of Outliers.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

DFAF-Net: A Dual-Frequency PolSAR Image Classification Network Based on Frequency-Aware Attention and Adaptive Feature Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Complex Variational Inference Network for PolSAR Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

High Resolution SAR Image Classification Using Global-Local Network Structure Based on Vision Transformer and CNN.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Adaptive multiple kernel fusion model using spatial-statistical information for high resolution SAR image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

High-Order Triplet CRF-PCANet for Unsupervised Segmentation of Nonstationary SAR Image.

[BibT_eX]

[DOI]

Peng Zhang

Mohamed El Yazid Boudaren

IEEE Trans. Geosci. Remote. Sens., 2021

Deep Triplet Complex-Valued Network for PolSAR Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

PolSAR Image Classification Using Hybrid Conditional Random Fields Model Based on Complex-Valued 3-D CNN.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2021

High-Resolution SAR Image Classification Using Multi-Scale Deep Feature Fusion and Covariance Pooling Manifold Network.

[BibT_eX]

[DOI]

Remote. Sens., 2021

PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Nonstationary PolSAR Image Classification by Deep-Features-Based High-Order Triple Discriminative Random Field.

[BibT_eX]

[DOI]

Wanying Song

Yan Wu

Xiaoyu Xiao

IEEE Geosci. Remote. Sens. Lett., 2021

Composite Kernel and Hybrid Discriminative Random Field Model Based on Feature Fusion for PolSAR Image Classification.

[BibT_eX]

[DOI]

Wanying Song

Yan Wu

Ping Guo

IEEE Geosci. Remote. Sens. Lett., 2021

A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification.

[BibT_eX]

[DOI]

CoRR, 2021

2020

High-Resolution SAR Image Classification Using Context-Aware Encoder Network and Hybrid Conditional Random Field Model.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Parameter Estimation of Generalized Gamma Distribution Toward SAR Image Processing.

[BibT_eX]

[DOI]

Peng Zhang

Beibei Li

Mohamed El Yazid Boudaren

Junkun Yan

Ming Li

Yan Wu

IEEE Trans. Aerosp. Electron. Syst., 2020

Complex-Valued 3-D Convolutional Neural Network for PolSAR Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2020

High-Order Triplet CRF-Pcanet for Unsupervised Segmentation of SAR Image.

[BibT_eX]

[DOI]

Mohamed El Yazid Boudaren

Wanying Song

Yan Wu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Fuzziness Modeling of Polarized Scattering Mechanisms and PolSAR Image Classification Using Fuzzy Triplet Discriminative Random Fields.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network.

[BibT_eX]

[DOI]

Remote. Sens., 2019

SAR Image Change Detection Using PCANet Guided by Saliency Detection.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

Superpixel-Based Hybrid Discriminative Random Field for Fast PolSAR Image Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Mixture WG Γ-MRF Model for PolSAR Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2018

SAR and Optical Image Registration Using Nonlinear Diffusion and Phase Congruency Structural Descriptor.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2018

Triplet Hybrid Discriminative Fields Model Based on Bayesian Fusion for Unsupervised Nonstationary SAR Image Multiclass Segmentation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017

Adaptive Detection of a Subspace Signal in Signal-Dependent Interference.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Adaptive Hybrid Conditional Random Field Model for SAR Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

New Point Matching Algorithm Using Sparse Representation of Image Patch Feature for SAR Image Registration.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Unsupervised PolSAR Image Classification and Segmentation Using Dirichlet Process Mixture Model and Markov Random Fields With Similarity Measure.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

SAR Image Registration Using Multiscale Image Patch Features With Sparse Representation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Synthetic bandwidth azimuth modulation imaging radar for airborne single-channel forward-looking imaging.

[BibT_eX]

[DOI]

Signal Process., 2017

Efficient forward-looking imaging via synthetic bandwidth azimuth modulation imaging radar for high-speed platform.

[BibT_eX]

[DOI]

Signal Process., 2017

Unsupervised SAR Image Segmentation Using Ambiguity Label Information Fusion in Triplet Markov Fields Model.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2017

Cross-Range Resolution Enhancement for DBS Imaging in a Scan Mode Using Aperture-Extrapolated Sparse Representation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2017

Efficient TR-TBD algorithm for slow-moving weak multi-targets in heavy clutter environment.

[BibT_eX]

[DOI]

IET Signal Process., 2017

Synthetic aperture radar image segmentation using non-linear diffusion-based hierarchical triplet Markov fields model.

[BibT_eX]

[DOI]

IET Image Process., 2017

Model-based Rao test for adaptive range-spread target detection.

[BibT_eX]

[DOI]

Digit. Signal Process., 2017

2016

SAR Image Change Detection Based on Correlation Kernel and Multistage Extreme Learning Machine.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2016

Remote-Sensing Image Change Detection With Fusion of Multiple Wavelet Kernels.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Persymmetric detectors of distributed targets in partially homogeneous disturbance.

[BibT_eX]

[DOI]

Signal Process., 2016

Unsupervised SAR image segmentation using high-order conditional random fields model based on product-of-experts.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Anisotropic-Scale-Space-Based Salient-Region Detection for SAR Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2016

SAR Image Change Detection Based on Multiple Kernel K-Means Clustering With Local-Neighborhood Information.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2016

2015

Hierarchical Conditional Random Fields Model for Semisupervised SAR Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2015

SAR Image Change Detection Based on Iterative Label-Information Composite Kernel Supervised by Anisotropic Texture.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2015

The WGΓ Distribution for Multilook Polarimetric SAR Data and Its Application.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2015

SAR Image Change Detection Based on Hybrid Conditional Random Field.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2015

SAR Image Registration Using Phase Congruency and Nonlinear Diffusion-Based SIFT.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2015

Multicontextual Mutual Information Data for SAR Image Change Detection.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2015

2014

Unsupervised SAR Image Segmentation Using Higher Order Neighborhood-Based Triplet Markov Fields Model.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2014

Compressed Sensing Detector for Wideband Radar Using the Dominant Scatterer.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2014

Multiple-Scale Salient-Region Detection of SAR Image Based on Gamma Distribution and Local Intensity Variation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Adaptive Subspace Detection for Wideband Radar Using Sparsity in Sinc Basis.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Dempster-Shafer Fusion of Multiple Sparse Representation and Statistical Property for SAR Target Configuration Recognition.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Four-Component Scattering Power Decomposition of Remainder Coherency Matrices Constrained for Nonnegative Eigenvalues.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

PolSAR Image Classification Based on Wishart TMF With Specific Auxiliary Field.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Unsupervised SAR Image Segmentation Based on Conditional Triplet Markov Fields.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Semisupervised SAR Image Change Detection Using a Cluster-Neighborhood Kernel.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Unsupervised SAR Image Segmentation Based on Triplet Markov Fields With Graph Cuts.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2014

Suboptimal Solutions to the Algebraic-Error Line Triangulation.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2014

Synthetic aperture radar image segmentation using fuzzy label field-based triplet Markov fields model.

[BibT_eX]

[DOI]

IET Image Process., 2014

2013

CFAR Detection of Range-Spread Targets Based on the Time-Frequency Decomposition Feature of Two Adjacent Returned Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

An Efficient Method for Detecting Slow-Moving Weak Targets in Sea Clutter Based on Time-Frequency Iteration Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2013

Unsupervised SAR Image Segmentation Using a Hierarchical TMF Model.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2013

Unsupervised Change Detection on SAR Images Using Triplet Markov Field Model.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2013

SAR Target Configuration Recognition Using Locality Preserving Property and Gaussian Mixture Distribution.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2013

SAR image multiclass segmentation using a multiscale and multidirection triplet Markov fields model in nonsubsampled contourlet transform domain.

[BibT_eX]

[DOI]

Inf. Fusion, 2013

An Efficient Normal-Error Iterative Algorithm for Line Triangulation.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013

2012

An improved particle filter algorithm based on Markov Random Field modeling in stationary wavelet domain for SAR image despeckling.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2012

Unsupervised multi-class segmentation of SAR images using fuzzy triplet Markov fields model.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

SAR Image Multiclass Segmentation Using a Multiscale TMF Model in Wavelet Domain.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2012

2011

Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2011

Fast algorithm based on triplet Markov fields for unsupervised multi-class segmentation of SAR images.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2011

2009

SAR image segmentation based on mixture context and wavelet hidden-class-label Markov random field.

[BibT_eX]

[DOI]

Ming Li

Yan Wu

Qiang Zhang

Comput. Math. Appl., 2009

Fusion Segmentation Algorithm for SAR Images Based on HMT in Contourlet Domain and D-S Theory of Evidence.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications, 2009

2007

Multiple features data fusion method in color texture analysis.

[BibT_eX]

[DOI]

Yan Wu

Ming Li

Guisheng Liao

Appl. Math. Comput., 2007

SAR Image Segmentation Based on Mixture Context and Wavelet Hidden-Class-Label Markov Random Field.

[BibT_eX]

[DOI]

Ming Li

Yan Wu

Shunjun Wu

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2005

Multi-focus Image Fusion Based on SOFM Neural Networks and Evolution Strategies.

[BibT_eX]

[DOI]

Yan Wu

Chongyang Liu

Guisheng Liao

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004

Image fusion by means of A trous discrete wavelet decomposition.

[BibT_eX]

[DOI]

Yan Wu

Ming Li

Guisheng Liao

Proceedings of the 8th International Conference on Control, 2004

A new pixel-level multi-focus image fusion algorithm based on evolutionary strategy.

[BibT_eX]

[DOI]

Ming Li

Yan Wu

Shunjun Wu

Proceedings of the 8th International Conference on Control, 2004

Yan Wu

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