/IPRSIG

Intelligent Processing of Remote Sensing Images Group (IPRSIG)

Hyperspectral Fusion Classification/hyperspectral classification

  • SCFormer: Spectral Coordinate Transformer for Cross-Domain Few-Shot Hyperspectral Image Classification. IEEE Transactions on Image Processing, 2024, J. Li, Z. Zhang, R. Song, Y. Li and Q. Du, doi: 10.1109/TIP.2024.3351443. [PDF][Code]
  • HyperMLP: Superpixel Prior and Feature Aggregated Perceptron Networks for Hyperspectral and Lidar Hybrid Classification. IEEE Transactions on Geoscience and Remote Sensing, 2024, J. Li, Y. Liu, R. Song, W. Liu, Y. Li and Q. Du, doi: 10.1109/TGRS.2024.3355037. [PDF][Code]
  • Class-Specific Autoaugment Architecture Based on Schmidt Mathematical Theory for Imbalanced Hyperspectral Classification[PDF][Code]
  • A Triplet Semisupervised Deep Network for Fusion Classification of Hyperspectral and LiDAR Data, IEEE Transactions on Geoscience and Remote Sensing, 2022, J. Li, Y. Ma, R. Song, B. Xi, D. Hong and Q. Du, doi: 10.1109/TGRS.2022.3213513.[PDF][Code]
  • Sal2RN: A Spatial-Spectral Salient Reinforcement Network for Hyperspectral and LiDAR Data Fusion Classification,IEEE Transactions on Geoscience and Remote Sensing, 2022, J. Li, Y. Liu, R. Song, Y. Li, K. Han and Q. Du, doi: 10.1109/TGRS.2022.3231930.[PDF][Code]
  • Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network, IEEE Transactions on Geoscience and Remote Sensing, 2020, Y. Zheng, J. Li, Y. Li, J. Guo, X. Wu and J. Chanussot, doi: 10.1109/TGRS.2020.2986313.[PDF][Code]

Image Classification/segmentation/object detection

  • PCViT: A Pyramid Convolutional Vision Transformer Detector for Object Detection in Remote-Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2024, J. Li, P. Tian, R. Song, H. Xu, Y. Li and Q. Du, doi: 10.1109/TGRS.2024.3360456. [PDF][Code]
  • Cov-DA: A Stepwise Domain Adaptive Segmentation Network with Covariate shift Alleviation for Remote Sensing Imagery, IEEE Transactions on Geoscience and Remote Sensing, 2022,Jiaojiao Li, Shunyao Zi, Rui Song, Yunsong Li, Yinlin Hu, Qian Du, doi:10.1109/TGRS.2022.3152587. [PDF][Code]
  • Feature Guide Network With Context Aggregation Pyramid for Remote Sensing Image Segmentation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, J. Li, Y. Liu, J. Liu, R. Song, W. Liu, K. Han and Q. Du, doi: 10.1109/JSTARS.2022.3221860.[PDF][Code]
  • Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification, IEEE Transactions on Image Processing, 2022, B. Xi, J. Li, Y. Li, R. Song, D. Hong, J. Chanussot, doi: 10.1109/TIP.2022.3192712.[PDF][Code]
  • Semisupervised Cross-scale Graph Prototypical Network for Hyperspectral Image Classification, IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15, 2022. B. Xi, J. Li, Y. Li, R. Song, Y. Xiao, Q. Du, J. Chanussot. DOI: 10.1109/TNNLS.2022.3158280.[PDF][Code]
  • SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. Y. Li, B. Xi, J. Li, R. Song, Y. Xiao and J. Chanussot. DOI: 10.1109/JSTARS.2021.3135548.[PDF][Code]
  • Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 2851-2854. B. Xi, J. Li, Y. Li and Q. Du. DOI: 10.1109/IGARSS47720.2021.9553372.[PDF][Code]
  • Multi-direction Networks with Attentional Spectral Prior for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2020. B. Xi, J. Li, Y. Li, R. Song, Y. Xiao, Y. Shi and Q. Du. DOI: 10.1109/TGRS.2020.3047682, [PDF][Code]
  • Multiscale Context-aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2020. B. Xi, J. Li, Y. Li, R. Song, W. Sun and Q. Du. DOI: 10.1109/TGRS.2020.3022029, [PDF][Code]
  • Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020), B Xi, Li J, Y Li, R Song, Y Shi, S Liu, Q Du, [PDF][Code]
  • Deep Kernel Extreme-learning Machine for the Spectral–spatial Classification of Hyperspectral Imagery, Remote Sensing (2018), J Li, B Xi, Q Du, R Song, Y Li, G Ren, [PDF]
  • Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks, Remote Sensing (2018), J Li, B Xi, Y Li, Q Du, K Wang, [PDF]
  • Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network, IEEE Geoscience and Remote Sensing Letters (2018), J Li, X Zhao, Y Li, Q Du, B Xi, J Hu, [PDF]
  • Hyperspectral Image Classification Via Sample Expansion for Convolutional Neural Network, WHISPERS 2018, Jiaojiao Li, Qian Du, Bobo Xi, Yunsong Li, [PDF]

Hyperspectral Image Super-Resolution

  • Hyperspectral Image Super-Resolution by Band Attention through Adversarial Learning, IEEE Transactions on Geoscience and Remote Sensing(2020), Jiaojiao Li, Ruxing Cui, Bo Li, Yunsong Li, Yuchao Dai, Rui Song, and Qian Du, [PDF]
  • Hyperspectral Image Super-Resolution with 1D–2D Attentional Convolutional Neural Network, Remote Sensing(2019,11), Jiaojiao Li, Ruxing Cui, Bo Li, Rui Song, Yunsong Li, and Qian Du, [PDF]
  • Dual 1D-2D Spatial-Spectral CNN for HSI Super-Resolution, IEEE International Geoscience and Remote Sensing Symposium(IGARSS 2019), Jiaojiao Li, Ruxing Cui, Bo Li, Yunsong Li, Shaohui Mei, Qian Du, [PDF]
  • Multitemporal Hyperspectral Image Super-Resolution through 3D generative adversarial network, 10th Inernational Workshop on the Analysis of Multitemporal Remote Sensing Images(Multitemp2019), Jiaojiao Li, Ruxing Cui, Yunsong Li, Bo Li, Qian Du and Chiru Ge, [PDF]

Spectral Super-Resolution/Reconstruction

  • Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution [PDF][Code]
  • Degradation Aware Unfolding Network for Spectral Super-Resolution [PDF][Code]
  • MFormer: Taming Masked Transformer for Unsupervised Spectral Reconstruction, TGRS 2023, Li J, Leng Y, Song R, et, al. [PDF] [Code]
  • DRCR Net: Dense Residual Channel Re-Calibration Network With Non-Local Purification for Spectral Super Resolution, CVPRW 2022, Li J, Du S, Wu C, et al. [PDF] [Code]
  • HASIC-Net: Hybrid Attentional Convolutional Neural Network With Structure Information Consistency for Spectral Super-Resolution of RGB Images, TGRS 2022, Li J, Du S, Song R, et al. [PDF] [Code]
  • Deep Hybrid 2-D-3-D CNN Based on Dual Second-Order Attention With Camera Spectral Sensitivity Prior for Spectral Super-Resolution, TNNLS 2021, Li J, Wu C, Song R, et al. [PDF] [Code]
  • Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images, CVPRW2020, Li J, Wu C, Song R, et al. [PDF] [Code]
  • Hybrid 2-D 3-D Deep Residual Attentional Network With Structure Tensor Constraints for Spectral Super-Resolution of RGB Images, TGRS2021, Li J, Wu C, Song R, et al. [PDF] [Code]
  • Residual Augmented Attentional U-Shaped Network for Spectral Reconstruction from RGB Images. RS2021. Li J, Wu C, Song R, et al. [PDF] [Code]
  • Spectral Super-Resolution Using Hybrid 2D-3D Structure Tensor Attention Networks with Camera Spectral Sensitivity Prior. IGARSS 2020. Wu C, Li J, Song R, et al. [PDF]