于坤，男，1995年11月生，江苏淮安人，工学博士，讲师，毕业于南京理工大学计算机科学与技术专业。
教学及研究方向（主讲课程）
研究方向为遥感图像处理、高性能计算，开设课程有《数据结构》等。
主持科研项目
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发表论文
Yu Kun, Zhan Tianming, Yu Xiaobing, Zheng Shangdong, Wei Zhihui and Wu Zebin. A Sparsity-Driven Lightweight Generative Adversarial Network via Structural Channel Pruning for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing, 2026.
Bai Qirui, Xu Yang, Yu Kun and Zheng Shangdong. Learnable Affine Transformation Guided Multifeature Aggregation for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters, 2026, 23: 6010205.
Shi Xuehuai, Xie Ruiqi, Yu Kun, Wei Zhihui and Zheng Shangdong. Focus, Magnify, and Detect: An Adaptive Region-Aware Detector for Remote Sensing Object Detection. Remote Sensing, 2026, 18(21): 3854.
Shi Xuehuai, Sun Jingru, Yu Kun, Wei Zhihui and Zheng Shangdong. Dual-Level Spatial–Frequency Collaborative Detector for Oriented Object Detection in Remote Sensing Images. Remote Sensing, 2026, 18(16): 2845.
Yu Kun and Wu Zebin. Accelerating Generative Adversarial Network for Hyperspectral Anomaly Detection. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025: 7403-7406.
Yu Kun, Wu Zebin, Sun Jin, Xu Yang, Zhang Yi, Wei Zhihui and Zheng Peng. Efficient Low-Rank Representation for Hyperspectral Anomaly Detection via Pixel Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 5509813.
Yu Kun, Wu Zebin, Sun Jin, Zhang Yi, Xu Yang, Wei Zhihui and Zheng Shangdong. Accelerating Hyperspectral Anomaly Detection With Enhanced Multivariate Gaussianization Based on FPGA. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5535512.
Yu Kun, Wu Shanshan, Wu Zebin, Sun Jin, Zhang Yi, Xu Yang and Wei Zhihui. A Parallel Algorithm for Hyperspectral Target Detection Based on Weighted Alternating Direction Method of Multiplier. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 8274-8285.
授权发明专利与转让情况
无
联系方式
邮箱：270821@nau.edu.cn