倪康，南京邮电大学副教授，硕士生导师。2020年毕业于南京航空航天大学，获工学博士学位，2020年12月进入南京邮电大学工作，2021年12月至今在南京邮电大学信息与通信工程博士后流动站进行博士后研究工作。目前从事SAR（Synthetic Aperture Radar）图像解译、光学遥感图像解译、多源遥感图像解译等领域的研究工作。主持国家自然科学基金青年项目、江苏省自然科学基金青年项目、中国博士后基金项目、国家重点实验室开放课题等纵向项目多项；同时作为研究骨干参与国家自然基金项目、JG项目、江苏省地质局、研究所、中兴等课题多项。以第一作者身份在《IEEE Transactions on Geoscience and Remote Sensing》、《IEEE Transactions on Aerospace and Electronic Systems》、《IEEE Transactions on Instrumentation and Measurement》等遥感和信号处理SCI源期刊上发表论文20余篇。现为中国计算机学会会员、中国图象图形学会会员、IEEE会员，担任SCI学术期刊《Remote Sensing》客座编辑，The 2nd International Conference on Big Data and Data Mining国际会议Workshop Chair，担任《IEEE Transactions on Geoscience and Remote Sensing》、《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》、《IEEE Geoscience and Remote Sensing Letters》等期刊审稿人。

1. 研究领域

模式识别与机器学习、深度学习等相关理论知识在遥感图像处理中的算法创新与应用。

1）高分辨率SAR遥感图像解译

2）光学遥感图像解译

3）多源遥感图像解译

2. 近年代表性成果：

[1]  吴倩倩, 倪康, 郑志忠. 基于双阶段高阶Transformer的遥感图像场景分类[J]. 遥感学报, 2025, 29(3): 792-807.

[2]   Kang Ni, Chunyang Yuan, Zhizhong Zheng,   et al . DPGUNet: A dynamic pyramidal graph U-Net for SAR image classification[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(4): 5247-5263.

[3]   Kang Ni, Chunyang Yuan, Zhizhong Zheng,   et al. MPT-SFANet: Multi-order pooling transformer-based semantic feature aggregation network for SAR image classification[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(4): 4923-4938.

[4]   Kang Ni, Qianqian Wu, Sichan Li,  et al . Remote sensing scene classification via second-order differentiable token transformer network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-17.

[5]   Kang Ni, Duo Wang, Guofeng Zhao,   et al. Hyperspectral and LiDAR classification via frequency domain-based network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-17.

[6]   Kang Ni, Tengfei Ma, Zhizhong Zheng,   et al . Object detection in remote sensing imagery based on prototype learning network with proposal relation[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-16.

[7]   Kang Ni, Duo Wang, Zhizhong Zheng,  et al . MHST: multiscale head selection transformer for hyperspectral and LiDAR classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 5470-5483.

[8]   Kang Ni, Mingling Zhai, Qianqian Wu, et al. A wavelet-driven subspace basis learning network for high-resolution synthetic aperture radar image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 1900-1913.