尚晓笛，女，1994年3月生，山东潍坊人。中共党员，副教授，硕士研究生导师，青岛大学特聘教授。2022年毕业于大连海事大学，获得计算机应用技术博士学位。在IEEE TGRS，IEEE GRSL，IEEE JSTARS等国际知名期刊和学术会议上发表学术论文20余篇。其中，以第一/通讯作者发表SCI论文9篇，EI论文3篇，包含Top期刊4篇，ESI高被引论文1篇；参与国家自然科学基金面上项目，国家自然科学基金青年基金项目、中国科学院重点实验室开放基金项目等多项课题；申请国家发明专利8项，授权1项，成果转化1项；担任TGRS，GRSL等期刊审稿人。
研究方向：高光谱遥感图像处理与信息提取
联系方式：Email：shangxd@qdu.edu.cn
代表性论文：
1. X. Shang, M. Song, Y. Wang, et al., Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 7, pp. 6044-6064, July 2021. (中科院1区，Top期刊，ESI高被引论文)
2. X. Shang, M. Song and C. Chang, Multispatial Filtering Module Cascaded System for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp.1-12, 2022. (中科院1区，Top期刊)
3. X. Shang, Sichao Han, M. Song, Iterative Spatial-Spectral Training Sample Augmentation for Effective Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp.1-5, 2022. (中科院2区)
4. X. Shang, M. Song, Y. Wang, et al., Residual Driven Band Selection for Hyperspectral Anomaly Detection, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp.1-5, 2022. (中科院2区)
5. X. Shang, M. Song and C. Chang, An Iterative Random Training Sample Selection Approach to Constrained Energy Minimization for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 9, pp. 1625-1629, Sept. 2021. (中科院2区)
6. X. Shang, T. Yang, S. Han, et al., Interference-Suppressed and Cluster-Optimized Hyperspectral Target Extraction based on Density Peak Clustering, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 4999-5014, 2021. (中科院2区)
7. M. Song, X. Shang* and C. Chang, 3-D Receiver Operating Characteristic Analysis for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 11, pp. 8093-8115, Nov. 2020. (中科院1区，Top期刊)
8. M. Song, X. Shang*, Y. Wang, et al., Class Information-Based Band Selection for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 8394-8416, Nov. 2019. (中科院1区，Top期刊)
9. H. Yu, X. Shang*, M. Song, et al., Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 553-556, Nov. 2020. (中科院2区)
10. H. Yu, X. Shang, X. Zhang, et al., Hyperspectral Image Classification based on Adjacent Constraint Representation, IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 4, pp. 707-711, April 2021. (中科院2区)
11. X. Fu, X. Shang, X. Sun, et al., Underwater Hyperspectral Target Detection with Band Selection, Remote Sensing, vol.12, no.7, pp.1056, 2020. (中科院2区)
12. X. Shang, S. Liu and M. Song, Target-Constrained Particle Swarm Optimization-based Band Selection for Hyperspectral Target Detection, 2021 IGARSS. (Oral，EI)
13. X. Shang et al., Hyperspectral Target Detection on Target-constrained Interference-minimized Band Selection, 2020 IGARSS. (Oral，EI)
14. X. Shang,et al., Hyperspectral Image Classification with Background, 2019 IGARSS. (EI)
发明专利：
1. 一种太阳能电池片的黑边和碎片的缺陷检测方法，201810424920.4，授权日期：2022,6,3 （授权）
2. 基于类特征迭代随机采样的高光谱图像谱空分类方法，201910976493.5，公开日期：2020,1,31.（成果转化）
3. 一种残差驱动的异常检测波段选择方法，202110620232.7，公开日期：2021,9,10
4. 一种基于深度前馈网络的高光谱分类方法，202011446700.5，公开日期：2021,3,30
5. 一种基于三维接收机工作特性曲线的高光谱图像分类评价方法，202010100198.6，公开日期：2020,6,23
6. 一种基于高光谱解混技术的车牌真伪检测方法，202010089208.0，公开日期：2020,6,19
7. 一种基于局部相似结构约束的引导性空间一致光伏图像配准方法，202110252806.X，公开日期：2021,7,23
8. 一种基于局部保留投影的高光谱图像稀疏表示分类方法，201910978651.0，公开日期：2020,1,21
