Kang Ni (倪康)

Kang Ni (倪康)

Nanjing University of Posts and Telecommunications

I work at the School of Computer Science as an associate professor and master’s supervisor now, doing some fundamental research on machine learning, computer vision, SAR image processing, and remote sensing image processing. I am also recruiting graduate students, if interested, feel free to email me at tznikang@njupt.edu.cn.

I graduated from the School of Electronic information engineering, Nanjing University of Aeronautics and Astronautics (南京航空航天大学电子信息工程学院) with a Ph.D’s degree in 2020, advised by prof. Yiquan Wu (吴一全), and from Nanjing University of Posts and Telecommunications with a post doctor in 2021, supervised by prof. Yun Li(李云) .

My research interest includes machine learning, computer vision, SAR image processing, and optical remote sensing image processing. I have published more than 20 papers at the signal processing conferences/journals such as IEEE TGRS, IEEE TAES, IEEE JSTARS，IEEE GRSL，ICASSP.

🔥 News

  • 2026.03:  🎉🎉 One paper on “HSI and LiDAR classification” is accepted by IEEE TGRS.
  • 2025.11:  🎉🎉 One paper on “SAR object detection” is accepted by AAAI 2026.
  • 2025.10:  🎉🎉 One paper on “SAR object detection” is accepted by ISPRS P&RS.
  • 2025.06:  🎉🎉 One paper on “SAR image classification” is accepted by IEEE TAES.
  • 2025.03:  🎉🎉 One paper on “High-resolution downscaling” is accepted by IEEE TGRS.
  • 2025.01:  🎉🎉 One paper on “HSI and LiDAR classification” is accepted by IEEE GRSL.
  • 2024.09:  🎉🎉 One paper on “HSI and LiDAR classification” is accepted by IEEE TGRS.
  • 2024.05:  🎉🎉 One paper on “Remote sensing scene classification” is accepted by IEEE TGRS.

📝 Selected publications

1. SAR image classification

  • Kang Ni, Chunyang Yuan, Zhizhong Zheng, Peng Wang. SAR image time series for land cover mapping via sparse local-global temporal transformer network, IEEE Transactions on Aerospace and Electronic Systems, 2025. PDF,CODE
  • Kang Ni, Chunyang Yuan, Zhizhong Zheng, Nan Huang, Peng Wang. DPGUNet: A dynamic pyramidal graph U-Net for SAR image classification, IEEE Transactions on Aerospace and Electronic Systems, 2024. PDF,CODE
  • Kang Ni, Chunyang Yuan, Zhizhong Zheng, Bingbing Zhang, Peng Wang. MPT-SFANet: Multi-order pooling transformer-based semantic feature aggregation network for SAR image classification, IEEE Transactions on Aerospace and Electronic Systems, 2024. PDF
  • Kang Ni, Mingliang Zhai, Qianqian Wu, Minrui Zou, Peng Wang. A wavelet-driven subspace basis learning network for high-resolution synthetic aperture radar image classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023. PDF
  • Kang Ni, Pengfei Liu, Peng Wang. Compact global-local convolutional network with multi-feature fusion and learning for scene classification in synthetic aperture radar imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. PDF
  • Kang Ni, Mingliang Zhai, Minrui Zou, Qianqian Wu, Peng Wang. DJSPNet: Deep Joint Statistical–Spatial Pooling Network for High-Resolution SAR Image Classification, IEEE Geoscience and Remote Sensing Letters, 2023. PDF
  • Kang Ni, Pengfei Liu, Peng Wang. High-resolution SAR image classification using subspace wavelet encoding network, IEEE Geoscience and Remote Sensing Letters, 2021. PDF
  • Kang Ni, Yiquan Wu, Peng Wang. Synthetic aperture radar scene classification using multi-view cross correlation attention network, IEEE Geoscience and Remote Sensing Letters, 2020. PDF
  • Kang Ni, Peng Wang, Yiquan Wu. High-order generalized orderless pooling networks for synthetic aperture radar scene classification, IEEE Geoscience and Remote Sensing Letters, 2019. PDF

2. SAR object detection

  • Kang Ni, Minrui Zou, Yuxuan Li, Xiang Li, Kehua Guo, Mingming Cheng, Yimian Dai. DenoDet V2: Phase-amplitude cross denoising for SAR object detection, AAAI, 2026. PDF
  • Kang Ni, Pengcheng Wang, Zhizhong Zheng, Yanfei Zhong. Complex-valued mix transformer for SAR ship detection, *ISPRS Journal of Photogrammetry and Remote Sensing**, 2026. PDF,CODE
  • Yimian Dai, Minrui Zou, Yuxuan Li, Xiang Li, Kang Ni*, Jian Yang. DenoDet: Attention as deformable multisubspace feature denoising for target detection in SAR images, IEEE Transactions on Aerospace and Electronic Systems, 2025. PDF
  • Kang Ni, Minrui Zou, Wenjie Jia, Mingliang Zhai, Zhizhong Zheng. SPSNet: A selected pyramidal shape-constrained network for SAR target detection, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024. PDF,CODE
  • Kang Ni, Yuqing Zhao, Yiquan Wu. SAR image segmentation based on super-pixel and kernel-improved CV model, IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022. PDF

3. HSI and LiDAR classification

  • Yan Huang, Binghua Lu, Zhizhong Zheng, Kang Ni*, Liang Xiao. Grouped attention-based spectral-spatial feature learning for collaborative hyperspectral and LiDAR classification. IEEE Transactions on Geoscience and Remote Sensing, 2026.PDF,CODE
  • Chao Liang, Yuqing Zhao, Yu Song, Kang Ni*. IDNet: Intensity-constrained detail-enhanced network for hyperspectral and LiDAR collaborative classification. IEEE Transactions on Geoscience and Remote Sensing, 2025.PDF
  • Kang Ni, Yunan Xie, Guofeng Zhao, Zhizhong Zheng, Peng Wang, Tongwei Lu. Coarse-to-fine high-order network for hyperspectral and LiDAR classification. IEEE Transactions on Geoscience and Remote Sensing, 2025.PDF,CODE
  • Kang Ni, Duo Wang, Guofeng Zhao, Zhizhong Zheng, Peng Wang. Hyperspectral and LiDAR classification via frequency domain-based network. IEEE Transactions on Geoscience and Remote Sensing, 2024.PDF,CODE
  • Kang Ni, Duo Wang, Zhizhong Zheng, Peng Wang. MHST: multiscale head selection transformer for hyperspectral and LiDAR classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024. PDF,CODE
  • Kang Ni, Zirun Li, Chunyang Yuan, Zhizhong Zheng, Peng Wang. Selective spectral-spatial aggregation transformer for hyperspectral and LiDAR classification. IEEE Geoscience and Remote Sensing Letters, 2025.PDF,CODE

4. Remote sensing scene classification

  • Kang Ni, Qianqian Wu, Sichan Li, Zhizhong Zheng, Peng Wang. Remote sensing scene classification via second-order differentiable token transformer network, IEEE Transactions on Geoscience and Remote Sensing, 2024. PDF,CODE
  • Qianqian Wu, Kang Ni, Zhizhong Zheng. Remote sensing image scene classification based on two-stage high-order transformer, National Remote Sensing Bulletin, 2023.
  • Kang Ni, Yiquan Wu. Scene classification from remote sensing images using mid-level deep feature learning, International Journal of Remote Sensing, 2020. PDF

5. Others

  • Kang Ni, Tengfei Ma, Zhizhong Zheng, Peng Wang. Object detection in remote sensing imagery based on prototype learning network with proposal relation[J]. IEEE Transactions on Instrumentation and Measurement, 2024.PDF,CODE
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao. Cross-modal optical flow estimation via modality compensation and alignment, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. PDF
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao. Learning scene flow from 3d point clouds with cross-transformer and global motion cues, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. PDF
  • Mingliang Zhai, Kang Ni, Jiucheng Xie, Hao Gao. Spike-based optical flow estimation via contrastive learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. PDF
  • Pengfei Liu, Haijian Long, Kang Ni, Zhizhong Zheng. Multimode structural nonconvex tensor low-rank regularized hyperspectral image destriping and denoising, IEEE Geoscience and Remote Sensing Letters, 2024. PDF
  • Peng Wang, Zhongchen He, Cai Li, Kang Ni. Subpixel flood inundation mapping based on spatial-spectral information in irregular regions, IEEE Geoscience and Remote Sensing Letters, 2022. PDF
  • Peng Wang, Yulan Wang, Lei Zhang, Kang Ni. Subpixel mapping based on multisource remote sensing fusion data for land-cover classes, IEEE Geoscience and Remote Sensing Letters, 2021. PDF

🎖 Fundings and projects

  • Natural Science Foundation of China (Youth Project).
  • Natural Science Foundation of Jiangsu Province (Youth Project).
  • China Postdoctoral Science Foundation.
  • Key Laboratory of Radar Imaging and Microwave Photonics Project (Nanjing University of Aeronautics and Astronautics), Ministry of Education.

💻 Acadamic services

  • Reviewer for IEEE TGRS, IEEE TAES, IEEE JSTARS, IEEE GRSL, Remote Sensing, et al.
  • IEEE member
  • CCF member
  • GRSS member

📚 Courses

  • Python Programming
  • GNU/Linux Programming
  • Unified Modeling Language

📖 Supervised students

  • Wenjie Jia (Master, candidate)
  • Yunan Xie (Master, candidate)
  • Ziyang Wang (Master, candidate)
  • Weiliang Fang (Master, candidate)
  • Jianqi Chen (Master, candidate)
  • Jiaxing Ren (Master, candidate)
  • Minrui Zou (Master, candidate, graduated. Nankai University, Phd)
  • Chunyang Yuan (Master, candidate, National scholarship for postgraduates, graduated. Nanjing University of Science and Technology, Phd)