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] Kang Ni, Chunyang Yuan, Zhizhong Zheng,
Nan Huang, Peng Wang. DPGUNet: A dynamic pyramidal graph U-Net for SAR image
classification[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024,
60(4): 5247-5263.
[2] 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[J]. IEEE
Transactions on Aerospace and Electronic Systems, 2024, 60(4):
4923-4938.
[3] Kang Ni, Qianqian Wu, Sichan Li,
Zhizhong Zheng, Peng Wang. Remote sensing scene classification via second-order
differentiable token transformer network[J]. IEEE Transactions on Geoscience
and Remote Sensing, 2024, 62: 1-17.
[4] Kang Ni, Duo Wang, Guofeng Zhao,
Zhizhong Zheng, Peng Wang. Hyperspectral and LiDAR classification via frequency
domain-based network[J]. IEEE Transactions on Geoscience and Remote
Sensing, 2024, 62: 1-17.
[5] 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, 73: 1-16.
[6] Kang Ni, Duo Wang, Zhizhong Zheng, Peng
Wang. 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.
[7] Kang Ni, Mingling Zhai, Qianqian Wu,
Minrui Zou, Peng Wang. 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.