Bin Wang
Orcid: 0000-0003-4748-6426Affiliations:
- Fudan University, Department of Electronic Engineering, Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China
- Kobe University, Japan (PhD 1999)
According to our database1,
Bin Wang
authored at least 111 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Transformer-Based Autoencoder Framework for Nonlinear Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
EMLM-Net: An Extended Multilinear Mixing Model-Inspired Dual-Stream Network for Unsupervised Nonlinear Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2024
Joint Distribution Adaptive-Alignment for Cross-Domain Segmentation of High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
PSD-SQ: Point Set Decoding Based on Semantic Query for Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Progressive Feature Fusion Framework Based on Graph Convolutional Network for Remote Sensing Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Background Reconstruction via 3D-Transformer Network for Hyperspectral Anomaly Detection.
Remote. Sens., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
A Coarse-to-Fine Scheme for Unsupervised Nonlinear Hyperspectral Unmixing Based on an Extended Multilinear Mixing Model.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Geosci. Remote. Sens. Lett., 2023
CoRR, 2023
2022
Oriented Object Detection Based on Foreground Feature Enhancement in Remote Sensing Images.
Remote. Sens., December, 2022
Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection.
IEEE Trans. Multim., 2022
IEEE Trans. Image Process., 2022
Curriculum-Style Local-to-Global Adaptation for Cross-Domain Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2022
Kernel-Based Decomposition Model With Total Variation and Sparsity Regularizations via Union Dictionary for Nonlinear Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Spectral-Spatial Reweighted Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model.
IEEE Trans. Geosci. Remote. Sens., 2022
Nonlinear Unmixing for Hyperspectral Images via Kernel-Transformed Bilinear Mixing Models.
IEEE Trans. Geosci. Remote. Sens., 2022
Kernel-Based Nonlinear Anomaly Detection via Union Dictionary for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Few-Shot Object Detection With Self-Adaptive Global Similarity and Two-Way Foreground Stimulator in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Reweighted Kernel-Based Nonlinear Hyperspectral Unmixing With Regional ℓ₁-Norm Regularization.
IEEE Geosci. Remote. Sens. Lett., 2022
Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Total Variation and Sparsity Regularized Decomposition Model With Union Dictionary for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2021
Coarse-to-Fine Joint Distribution Alignment for Cross-Domain Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Decomposition Model With Background Dictionary Learning for Hyperspectral Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Scale-Aware Anchor-Free Object Detection via Curriculum Learning for Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Neural Comput. Appl., 2021
Semisupervised Classification for Hyperspectral Images Using Graph Attention Networks.
IEEE Geosci. Remote. Sens. Lett., 2021
Nonlinear Anomaly Detection Based on Spectral-Spatial Composite Kernel for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2021
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
2020
Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2020
Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-Based Simplex Growing and Fuzzy Assessment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
2019
Semisupervised Scene Classification for Remote Sensing Images: A Method Based on Convolutional Neural Networks and Ensemble Learning.
IEEE Geosci. Remote. Sens. Lett., 2019
IEEE Geosci. Remote. Sens. Lett., 2019
Semi-Supervised Classification for Hyperspectral Images Using Edge-Conditioned Graph Convolutional Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Deep Feature Extraction Based on Siamese Network and Auto-Encoder for Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Nonlinear Hyperspectral Unmixing Based on Geometric Characteristics of Bilinear Mixture Models.
IEEE Trans. Geosci. Remote. Sens., 2018
Band-Wise Nonlinear Unmixing for Hyperspectral Imagery Using an Extended Multilinear Mixing Model.
IEEE Trans. Geosci. Remote. Sens., 2018
Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization.
Remote. Sens., 2018
A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis.
Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Semi-Supervised Scene Classification for Remote Sensing Images Based on CNN and Ensemble Learning.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Hyperspectral Target Detection: a Preprocessing Method Based on Tensor Principal Component Analysis.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Extracting Target Spectrum for Hyperspectral Target Detection: An Adaptive Weighted Learning Method Using a Self-Completed Background Dictionary.
IEEE Trans. Geosci. Remote. Sens., 2017
Constrained Nonnegative Matrix Factorization Based on Particle Swarm Optimization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Spectrally-Spatially Regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images.
Remote. Sens., 2017
Embedding Learning on Spectral-Spatial Graph for Semisupervised Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017
Nonnegative matrix factorization with constraints on endmember and abundance for hyperspectral unmixing.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Bilinear mixture models based unsupervised nonlinear unmixing using constrained nonnegative matrix factorization.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Change detection in hyperspectral imagery based on spectrally-spatially regularized low-rank matrix decomposition.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the Image and Graphics - 9th International Conference, 2017
Traffic-aware transmission mode selection in D2D-enabled cellular networks with token system.
Proceedings of the 25th European Signal Processing Conference, 2017
Convergence acceleration of alternating least squares with a matrix polynomial predictive model for PARAFAC decomposition of a tensor.
Proceedings of the 25th European Signal Processing Conference, 2017
2016
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Spectral-spatial classification for hyperspectral imagery: a novel combination method based on affinity scoring.
Sci. China Inf. Sci., 2016
Deep Convolutional networks with superpixel segmentation for hyperspectral image classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Constrained Least Squares Algorithms for Nonlinear Unmixing of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2015
Airport Target Detection in Remote Sensing Images: A New Method Based on Two-Way Saliency.
IEEE Geosci. Remote. Sens. Lett., 2015
Semisupervised Spectral-Spatial Classification of Hyperspectral Imagery With Affinity Scoring.
IEEE Geosci. Remote. Sens. Lett., 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
IEEE Trans. Geosci. Remote. Sens., 2014
A Novel Spatial-Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2014
Fusion of Hyperspectral and Multispectral Images: A Novel Framework Based on Generalization of Pan-Sharpening Methods.
IEEE Geosci. Remote. Sens. Lett., 2014
2013
IEEE Geosci. Remote. Sens. Lett., 2013
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
A novel nonlinear unmixing scheme for hyperspectral images using the nonlinear least squares technique.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Novel similarity measure-based nonlinear dimensionality reduction methods for hyperspectral imgery.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
IEEE Trans. Geosci. Remote. Sens., 2012
An approach for visual attention based on biquaternion and its application for ship detection in multispectral imagery.
Neurocomputing, 2012
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
Abundance estimation for hyperspecrtral unmixing: A method based on distance geometry.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
An approach for fully constrained linear spectral unmixing based on distance geometry.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Evaluation of Temperature Independent Spectral Indices of Emissivity in Land Surface Emissivity retrievals.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Independent Component Analysis for Blind Unmixing of Hyperspectral Imagery With Additional Constraints.
IEEE Trans. Geosci. Remote. Sens., 2011
An Approach Based on Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2011
Hebbian-based neural networks for bottom-up visual attention and its applications to ship detection in SAR images.
Neurocomputing, 2011
Simplex volume analysis based on triangular factorization: A framework for hyperspectral unmixing.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
2010
IEEE Signal Process. Lett., 2010
An approach based on self-organizing map and fuzzy membership for decomposition of mixed pixels in hyperspectral imagery.
Pattern Recognit. Lett., 2010
A Novel Approach Based on Fisher Discriminant Null Space for Decomposition of Mixed Pixels in Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
A novel approach for hyperspectral unmixing based on Nonnegative Matrix Factorization.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2009
Decomposition of mixed pixels based on bayesian self-organizing map and Gaussian mixture model.
Pattern Recognit. Lett., 2009
Orthogonal Bases Approach for the Decomposition of Mixed Pixels in Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2009
A new approach based on orthogonal bases of data space to decomposition of mixed pixels for hyperspectral imagery.
Sci. China Ser. F Inf. Sci., 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2007
Sci. China Ser. F Inf. Sci., 2007
Multiple Signal Classification Based on Genetic Algorithm for MEG Sources Localization.
Proceedings of the Advances in Neural Networks, 2007
Hypercomplex principle component weighted approach to multiplespectral and panchromatic images Fusions.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
A new endmember extraction algorithm based on orthogonal bases of subspace formed by endmembers.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
A new scheme for decomposition of mixed pixels based on nonnegative matrix factorization.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Decomposition of mixed pixels using Bayesian Self- Organizing Map (BSOM) neural networks.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
A New Approach to Decomposition of Mixed Pixels Based on Orthogonal Bases of Data Space.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007
2006
Multiple Signal Classification Based on Chaos Optimization Algorithm for MEG Sources Localization.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
A new scheme for extraction of affine invariant descriptor and affine motion estimation based on independent component analysis.
Pattern Recognit. Lett., 2005
A New Scheme for Blind Decomposition of Mixed Pixels Based on Non-negative Matrix Factorization.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
A New Scheme for Fusion of Multispectral and Panchromatic Images Based on Residual Error.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Blind decomposition of mixed pixels using constrained non-negative matrix factorization.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
2004
A New Scheme for Detection and Classification of Subpixel Spectral Signatures in Multispectral Data.
Proceedings of the Advances in Neural Networks, 2004
2003
IEEE Trans. Geosci. Remote. Sens., 2003