CODES:


Codes for download:

    1. code
      Jing Zhang, Liqin Liu, Rui Zhao, and Zhenwei Shi. A Bayesian Meta-learning Based Method for Few-Shot Hyperspectral Image Classification.


    2. code
      A Degraded Reconstruction Enhancement-based Method for Tiny Ship Detection in Remote Sensing Images with A New Large-scale Dataset. IEEE Transactions on Geoscience and Remote Sensing. [pdf][dataset]


    3. code
      Deep Autoencoder for Hyperspectral Unmixing via Global-Local Smoothing. IEEE Transactions on Geoscience and Remote Sensing. Volume 60, 2022, Article Sequence Number: 5524216, pp. 1-16 (DOI: 10.1109/TGRS.2022.3152782. [pdf]


    4. code
      Physics-informed Hyperspectral Remote Sensing Image Synthesis with Deep Conditional GenerativeAdversarial Networks. Physics-informed Hyperspectral Remote Sensing Image Synthesis with Deep Conditional Generative Adversarial Networks.IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5528215, pp. 1-15(DOI: 10.1109/TGRS.2022.3173532) [pdf]


    5. code
      Sen Lei, Zhenwei Shi, Wenjing Mo.Transformer-based Multi-Stage Enhancement for Remote Sensing Image Super-Resolution. IEEE Geoscience and Remote Sensing Letters, Volume 19, 2022, Article Sequence Number: 6506605, pp. 1-5 (DOI: 10.1109/LGRS.2022.3150957)[pdf]


    6. code
      Bin Pan, Qiaoying Qu, Xia Xu and Zhenwei Shi.Structure-Color Preserving Network for Hyperspectral Image Super Resolution. IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5525512, pp. 1-12 (DOI: 10.1109/TGRS.2021.3135028)[pdf]


    7. code
      Jun Zhang, Jiao Liu, Bin Pan, Zongqing Chen, Xia Xu and Zhenwei Shi. An Open Set Domain Adaptation Algorithm via Exploring Transferability and Discriminability for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5609512, pp. 1-12 (DOI:10.1109/TGRS.2021.3110060)[pdf]


    8. code
      Wenyuan Li, Keyan Chen, Hao Chen and Zhenwei Shi. Geographical Knowledge-Driven Representation Learning for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5609512, pp. 1-12 (DOI:10.1109/TGRS.2021.3110060)[pdf]


    9. code
      Hao Chen, Zipeng Qi, and Zhenwei Shi.Remote Sensing Image Change Detection with Transformers. IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5607514, pp. 1-14 (DOI:10.1109/TGRS.2021.3095166)[pdf]


    10. code
      Sen Lei and Zhenwei Shi.Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5401410, pp. 1-10 (DOI: 10.1109/TGRS.2021.3069889). [pdf]


    11. code
      Lukui Shi, Linyi Kuang, Xia Xu, Bin Pan, and Zhenwei Shi. CANet: Centerness-Aware Network for Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5603613, pp. 1-13 (DOI: 10.1109/TGRS.2021.3068970).


    12. code
      Hao Chen, Wenyuan Li and Zhenwei Shi.Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Volume 60, 2022, Article Sequence Number: 5603216, pp. 1-16 (DOI: 10.1109/TGRS.2021.3066802).[pdf]


    13. code
      Lukui Shi, Ziyuan Wang, Bin Pan and Zhenwei Shi. An End-to-End Network for Remote Sensing Imagery Semantic Segmentation via Joint Pixel and Representation Level Domain Adaptation. IEEE Geoscience and Remote Sensing Letters, Volume 18, Issue 11, November 2021, pp. 1896-1900.[pdf]


    14. code
      Keyan Chen, Zhengxia Zou and Zhenwei Shi.Building Extraction from Remote Sensing Images with Sparse Token Transformers. Remote Sensing, 13(21), 2021,4441-1—4441-22; https://doi.org/10.3390/rs13214441. [pdf]


    15. code
      Zhengxia Zou, Tianyang Shi, Zhenwei Shi and Jieping Ye. Adversarial Training for Solving Inverse Problems. IEEE Transactions on Image Processing, Volume 30, 2021, pp. 2513-2525


    16. code
      Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, and Zhenwei Shi. Stylized Neural Painting. IEEE Conference on Computer Vision and Pattern Recognition, 20-25 June 2021. [pdf]


    17. code
      Xi Wu, Zhenwei Shi and Zhengxia Zou.A Geographic Information-driven Method and A New Large Scale Dataset for Remote Sensing Cloud/Snow Detection. ISPRS Journal of Photogrammetry and Remote Sensing, Volume: 174, pp: 87-104, April 2021.[pdf]


    18. code
      Enhai Liu, Yu Zheng, Bin Pan, Xia Xu and Zhenwei Shi.DCL-Net: Augmenting the Capability of Classification and Localization for Remote Sensing Object Detection. IEEE Transactions on Geoscience and Remote Sensing, Volume: 59, Issue: 9, pp: 7933 - 7944, Sept. 2021.[pdf]


    19. code
      Liqin Liu, Sen Lei, Zhenwei Shi, Ning Zhang, and Xinzhong Zhu.Hyperspectral Remote Sensing Imagery Generation From RGB Images Based on Joint DiscriminationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 14, pp: 7624 - 7636, 26 July 2021 [pdf]


    20. code
      Wenyuan Li, Hao Chen, and Zhenwei Shi.Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 14, pp: 6438 - 6450, 18 June 2021.[pdf]


    21. code dataset
      Hao chen, and Zhenwei Shi. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection. Remote Sens. 2020, 12, 1662.[pdf]


    22. code
      Jun Zhang, Min Zhang, Bin Pan and Zhenwei Shi.Semi-Supervised Center Loss for Remote Sensing Image Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 13, pp: 1362 - 1373, 16 March 2020, (DOI: 10.1109/JSTARS.2020.2978864).[pdf]


    23. code
      Liqin Liu, Zhenwei Shi, Bin Pan, Ning Zhang, Huanlin Luo, and Xianchao Lan.Multiscale Deep Spatial Feature Extraction Using Virtual RGB Image for Hyperspectral Imagery Classification. Remote Sensing, 2020, 12(2), 280; https://doi.org/10.3390/rs12020280 .[pdf]


    24. code
      Zhengxia Zou, Wenyuan Li, Zhenwei Shi, Tianyang Shi, and Jieping Ye.Generative Adversarial Training for Weakly Supervised Cloud Matting. IEEE International Conference on Computer Vision(ICCV). 27 Oct.-2 Nov. 2019, (DOI: 10.1109/ICCV.2019.00029)[pdf]


    25. code
      Rui Zhao,Zhenwei Shi,Zhengxia Zou and Zhou Zhang.Ensemble-based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection. Remote Sensing, 2019, 11(11), 1310-1—1310-20; [pdf]


    26. code
      Bin Pan, Zhenwei Shi, Xia Xu, Tianyang Shi, Ning Zhang and Xinzhong Zhu. CoinNet: Copy Initialization Network for Multispectral Imagery Semantic Segmentation. IEEE Geoscience and Remote Sensing Letters, Volume 16, Issue 5, May 2019, pp. 816-820[pdf]


    27. code
      Zhenwei Shi, Tianyang Shi, Min Zhou, and Xia Xu. Collaborative Sparse Hyperspectral Unmixing Using L0 norm. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 9, pp. 5495-5508, Sept. 2018.[pdf]


    28. code
      Xia Xu, Zhenwei Shi and Bin Pan. A Supervised Abundance Estimation Method for Hyperspectral Unmixing. Remote Sensing Letters, 2018, 9(4): 383-392.[pdf]


    29. code
      Liqin Liu, Sen Lei, Zhenwei Shi, Ning Zhang, and Xinzhong Zhu. Hyperspectral Remote Sensing Imagery Reconstruction From RGB Images Based on Joint Discrimination.


    30. code
      Jun Zhang, Min Zhang, Bin Pan and Zhenwei Shi. Semi-Supervised Center Loss for Remote Sensing Image Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.[pdf]


    31. code
      Liqin Liu, Zhenwei Shi, Bin Pan, Ning Zhang, Huanlin Luo, and Xianchao Lan. Multiscale Deep Spatial Feature Extraction Using Virtual RGB Image for Hyperspectral Imagery Classification. Remote Sensing. 12. 280.[pdf]


    32. code
      Zhenwei Shi, Tianyang Shi, Min Zhou, and Xia Xu. Collaborative Sparse Hyperspectral Unmixing Using L0 norm. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 9, pp. 5495-5508, Sept. 2018.[pdf]


    33. code
      Rui Zhao,Zhenwei Shi,Zhengxia Zou and Zhou Zhang. Ensemble-based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection. Remote Sensing, 2019, 11(11), 1310-1—1310-20.[pdf]


    34. code
      Zhenyu An and Zhenwei Shi. Scene learning for cloud detection on remote sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Volume 8, Issue 8, August 2015, pp. 4206-4222.[pdf]


    35. SAE_unmixing_release    Matlab code.
      Xia Xu, Zhenwei Shi and Bin Pan. A Supervised Abundance Estimation Method for Hyperspectral Unmixing. Remote Sensing Letters, 2018, 9(4): 383-392 [pdf]


    36. smosu    Matlab code.
      Xia Xu, Zhenwei Shi and Bin Pan. ℓ0-based sparse hyperspectral unmixing using spectral information and a multi-objectives formulation. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 141: 46-58. [pdf]


    37. LEVIR    A new remote sensing target detection dataset which is one order of magnitude larger than any other datasets of this field. Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images. IEEE Transactions on Image Processing,2018, 27(3): 1100-1111. [pdf]


    38. HiFi-We_release   Matlab Codes of Hifi-We demo

      Bin Pan,Zhenwei Shi and Xia Xu. Hierarchical Guidance Filtering Based Ensemble Classification for Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing,2017, 55(7): 4177 – 4189. [pdf]



    39. Traffic Light Detection Code   Codes of Traffic Light Detection release version.

      Video Sequence   Testing data of Traffic Light Detection(Video Sequence).

      Zhenwei Shi, Zhengxia Zou and Changshui Zhang. Real Time Traffic Light Detection with Adaptive Background Suppression Filter. IEEE Transactions on Intelligent Transportation Systems,Volume 17, Issue 3, March 2016, pp. 690-700.[pdf]



    40. RSImageCaption   Matlab Codes of RSImageCaption demo

      Zhenwei Shi and Zhengxia Zou. Can a Machine Generate Human-like Language Descriptions for a Remote Sensing Image? IEEE Transactions on Geoscience and Remote Sensing, Volume 55, Issue 6, June 2017, pp. 3623-3634. [pdf]



    41. RVCANet   Matlab Codes of RVCANet demo

      The error in the previous demo is corrected, and more flexible setting of training samples number is available.

      Bin Pan, Zhenwei Shi and Xia Xu. R-VCANet: A New Deep Learning-Based Hyperspectral Image Classification Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Volume 10, Issue 5, May 2017, pp. 1975-1986. [pdf]



    42. hCEM   Matlab Codes of hCEM demo

      Zhengxia Zou and Zhenwei Shi. Hierarchical Suppression Method for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing, Volume 54, Issue 1, Jan. 2016, pp.330-342. [pdf]



    43. SunSPI   Matlab Codes of SunSPI demo

      Wei Tang, Zhenwei Shi, Ying Wu and Changshui Zhang. Sparse Unmixing of Hyperspectral Data Using Spectral a Priori Information. IEEE Transactions on Geoscience and Remote Sensing, Volume 53, Issue 2, February 2015, pp. 770-783. [pdf]



    44. Retinex   Matlab Codes of Retinex demo

      Haoning Lin and Zhenwei Shi. Multi-scale retinex improvement for nighttime image enhancement. Optik - International Journal for Light and Electron Optics, Volume 125, Issue 14, December 2014, pp.7143-7148. [pdf]

    45. RSFoBa   Matlab Codes of RSFoBa demo

      Wei Tang, Zhenwei Shi, and Ying Wu, Regularized simultaneous forward-backward greedy algorithm for sparse unmixing of hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing, Volume 52, Issue 9, September 2014, pp. 5271- 5288.[pdf]



    46. SMP   Matlab Codes of SMP demo

      Zhenwei Shi, Wei Tang, Zhana Duren, and Zhiguo Jiang.Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data.IEEE Transactions on Geoscience and Remote Sensing, Volume 52, Issue 6, June 2014, pp.3256-3274.[pdf]



    47. NMF-UPK   Matlab Codes of NMF-UPK demo

      Wei Tang, Zhenwei Shi, and Zhenyu An.Non-negative Matrix Factorization for Hyperspectral Unmixing Using Prior Knowledge of Spectral Signatures.Optical Engineering, Volume 51, Issue 8, 087001, August, 2012..[pdf]



    48. Hsifus   Matlab Codes of Hsifus demo

      Zhenwei Shi, Zhenyu An, and Zhiguo Jiang.Hyperspectral image fusion by the similarity measure based variational method. Optical Engineering, Volume 50, Issue 7, 077006, July 2011, DOI: 10.1117/1.3600767. [pdf]



     

     

     

     

     

 
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