
基本信息
姓名:马晓峰
性别:男
籍贯:陕西省汉中市
邮箱:[email protected]
政治面貌:中共党员
职称:讲师
学历:博士研究生
讲授课程:《地图学》
研究方向
利用深度学习技术实现遥感图像质量提升,例如云雾去除、去噪以及超分辨率重建等;
土地利用分类以及水体颜色反演等。
教育工作经历
2013.9-2017.6,中国地质大学(北京),土地科学技术学院,测绘工程,本科
2017.9-2020.7,中国地质大学(北京),土地科学技术学院,测绘工程,硕士
2020.9-2024.8, 同济大学,测绘与地理信息学院,摄影测量与遥感,博士
2025.1-至今,做爱影片
,讲师
期刊论文(*为通讯作者)
1. Ma, X., Wang, Q.*, Tong, X., & Atkinson, P., (2022). A deep learning model for incorporating temporal information in haze removal. Remote Sensing of Environment, 274, 113012.
2. Ma, X., Wang, Q.*, & Tong, X., (2022). A spectral grouping-based deep learning model for haze removal of hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing, 188, 177-189.
3. Ma, X., & Wang, Q.*, (2025). Nighttime light remote sensing image haze removal based on a deep learning model. Remote Sensing of Environment, 318, 114575.
4. Ma, X., Wang, Q.*, & Tong, X., (2023). Incorporating inconsistent auxiliary images in haze removal of very high resolution images. International Journal of Applied Earth Observation and Geoinformation, 119, 103317.
5. Ma, X., Hong, Y. *, Song, Y., & Chen, Y., (2019). A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 4930-4939.
6. Ma, X., Hong, Y. *, & Song, Y., (2019). Super resolution land cover mapping of hyperspectral images using the deep image prior-based approach, International Journal of Remote Sensing, 41, 2818-2834.
7. Yang, H., Wang, Q*., Ma, X., Liu, W., & Liu, H., (2023). Digital Soil Mapping Based on Fine Temporal Resolution Landsat Data Produced by Spatiotemporal Fusion, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 3905-3914.
科研项目
1. 做爱影片
/人才引进(博士启动)项目,基于数据驱动的多光谱遥感影像云雾修复研究,主持