
✦个人简介
张凤奇,男,博士,硕士生副导师。博士毕业于武汉大学测绘遥感信息工程全国重点实验室(2025/06)。在IEEE Transactions on Geoscience and Remote Sensing、Pattern Recognition、IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing等遥感图像、计算机视觉领域知名期刊独立(以第一作者/通讯作者)发表论文多篇。担任JSTARS、Applied Intelligence等SCI期刊审稿人。欢迎具有较好计算机/信息/数学/遥感专业背景的员工加入本课题组。
✦研究方向
※计算机视觉
※遥感图像处理与应用
※深空探测与行星科学
✦主要科研项目
※参与国家自然科学基金2项(在研)、光电测量与智能感知中关村开放实验室开放基金课题1项(完成)
✦奖励情况
博士期间代表性奖励:
※2024年博士研究生国家奖学金
✦教学和人才培养情况
※讲授课程:《数据结构》(本科生)、《人工智能通识课》(研究生)
✦代表性论文
近5年本人独立发表的代表性论文如下:
[1] Zhang Fengqi, Tu Zhigang, Hao Weifeng, Chen Yihao, Li Fei* and Ye Mao*. Zero-shot parameter learning network for low-light image enhancement in permanently shadowed regions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-16. (SCI,IF=8.6,中科院一区Top,方向:图像增强)
[2] Zhang Fengqi, Ye Mao*, Hao Weifeng, Sun Xuemei and Li Fei*. Dense small crater detection model based on key point detection for lunar permanently shadowed region images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025. (SCI,IF=8.6,中科院一区Top,方向:陨石坑检测)
[3] Yang Lina, Zhang Fengqi*, Patrick Shen-Pei Wang, Li Xichun and Meng Zuqiang. Multi-scale spatial-spectral fusion based on multi-input fusion calculation and coordinate attention for hyperspectral image classification[J]. Pattern Recognition, 2022,122:108348. (SCI,IF=7.6,中科院一区Top,方向:高光谱图像分类、图像分割)
[4] Zhang Fengqi, Hao Weifeng, Ye Mao*, Tu Zhigang* and Li Fei. Automatic change detection of planetary striped landform on Mars surface[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 5884-5898. (SCI,IF=5.3,中科院二区Top,方向:变化检测)
[5] Yang Lina, Zhang Fengqi*, Patrick Shen-Pei Wang, Li Xichun and Luo Huiwu. Multi-content merging network based on focal loss and convolutional block attention in hyperspectral image classification[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2022:2250018. (SCI,方向:高光谱图像分类、图像分割)
[6] Zhang Fengqi, Yang Lina, Su Hailong and Patrick Shen-Pei Wang. Improved multi-scale fusion of attention network for hyperspectral image classification[C]//2021 World Conference on Information Systems and Technologies(WorldCIST). 2021: 59-68. (EI,方向:高光谱图像分类、图像分割)
[7] Zhang Fengqi, Ye Mao, Hao Weifeng, Chen Yihao and Li Fei. A Retinex-based zero-shot learning method for permanently shadowed regions’ image enhancement[C]//European Planetary Science Congress. 2024: EPSC2024-60. (方向:图像增强、图像去噪)
✦联系方式
电子邮箱:zfengqi@ecjtu.edu.cn