周峰，男，1993年12月生，江苏无锡人。2021年6月毕业于南京信息工程大学，获得工学博士学位。2021年8月加入best365官网登录入口智能审计学院，任讲师。担任江苏省人工智能学会智能遥感专业委员会委员。
Ø 教学及研究方向（主讲课程）
主要研究遥感图像处理（包括高光谱图像分类和高分卫星图像分割），开设课程《数据挖掘》。
Ø 发表论文
1. 周峰, 杭仁龙, 徐超, 刘青山, 杨国为. 渐进式多尺度因果干预航拍图像分割[J]. 中国图象图形学报, 2022（北大核心）
2. Zhou Feng, Hang Renglong, Shuai Hui, and Liu Qingshan. Hierarchical context network for airborne image segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60. （SCI一区）
3. Zhou Feng, Hang Renlong, and Liu Qingshan. Class-guided feature decoupling network for airborne image segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(3): 2245-2255. （SCI一区、ESI 高被引）
4. Hang Renlong, Zhou Feng, Liu Qingshan, and Ghamisi Pedram. Classification of hyperspectral images via multitask generative adversarial networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(2): 1424-1436. （SCI一区、ESI 高被引）
5. Zhao Zengqun, Liu Qingshan, and Zhou Feng. Robust lightweight facial expression recognition network with label distribution training[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2021, 35(4): 3510-3519.（CCF-A类会议）
6. Zhou Feng, Shuai Hui, Liu Qingshan, and Guo Guodong. Flow driven attention network for video salient object detection[J]. IET Image Processing, 2020, 14(6): 997-1004.（SCI四区）
7. Zhou Feng, Hang Renlong, Liu Qingshan, and Yuan Xiaotong. Pyramid fully convolutional network for hyperspectral and multispectral image fusion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(5): 1549-1558.（SCI三区）
8. Zhou Feng, Hang Renlong, Liu Qingshan, and Yuan Xiaotong. Hyperspectral image classification using spectral-spatial LSTMs[J]. Neurocomputing, 2019, 328: 39-47.（SCI二区）
9. Zhou Feng, Hang Renlong, Liu Qingshan, and Yuan Xiaotong. Integrating convolutional neural network and gated recurrent unit for hyperspectral image spectral-spatial classification[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2018: 409-420.（EI会议、最佳学生论文奖）
10. Liu Qingshan, Zhou Feng, Hang Renlong, and Yuan Xiaotong. Bidirectional-convolutional LSTM based spectral-spatial feature learning for hyperspectral image classification[J]. Remote Sensing, 2017, 9(12): 1330.（SCI二区）
11. Zhou Feng, Hang Renlong, Liu Qingshan, and Yuan Xiaotong. Hyperspectral image classification using spectral-spatial LSTMs[C]//CCF Chinese Conference on Computer Vision. Springer, Singapore, 2017: 577-588. （EI会议、最佳学生论文提名奖）
Ø 联系方式
邮箱：fengzhou93@nau.edu.cn