姓    名：黄超

性    别：男

出生年月：1997年7月

职称/职务：讲师

学位/学历：博士/博士研究生

邮    箱：1401790221@qq.com

教育经历：

2014年9月-2018年6月，武汉大学测绘学院，测量工程专业，学士

2018年9月-2021年6月，武汉大学测绘学院，大地测量学与测量工程专业，硕士

2021年9月-2025年6月，武汉大学测绘学院，大地测量学与测量工程专业，博士

工作经历：

2025年9月-至今，航运学院导航系讲师

2025年9月-至今，航运学院博士后

研究方向：主要从事海洋测绘、水声探测与成像，计算机视觉、人工智能等方面的研究。

科研项目：

基于侧扫声呐测量信息的海底地貌图像、地形和底质一体化获取，国家自然科学基金面上项目，参与。

基于侧扫声呐测量信息的海底地貌图像、地形和底质一体化获取，国家自然科学基金面上项目，参与。

船载-潜载海洋地球物理、物理海洋数据处理开源软件研发，国家重点研发专项，参与

主要学术成果：

    1.Huang C, Zhao J, Yu Y, et al. Comprehensive sample augmentation by fully considering SSS imaging mechanism and environment for shipwreck detection under zero real samples[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 1-14.

    2.Huang C, Zhao J, Zhang H, et al. Seg2Sonar: a full-class sample synthesis method applied to underwater sonar image target detection, recognition, and segmentation tasks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-19.

    3.Huang C, Zhao J, Yu Y, et al. Combined Texture Continuity and Correlation for Sidescan Sonar Heading Distortion[J]. IEEE Journal of Oceanic Engineering, 2024, 50(1): 338-353.

    4.Huang C, Zhang H, Zhao J, et al. Unsupervised terrain reconstruction from side scan sonar constrained to the imaging mechanism[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-15.

    5.Huang C, Zhao J, Zhang H. Classification and analysis of seafloor sediments using hidden features from combined imaging mechanism and seafloor reflection model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 63: 1-14.

    6.Huang C, Zhang H, Zhao J. High-efficiency determination of coastline by combination of tidal level and coastal zone DEM from UAV tilt photogrammetry[J]. Remote Sensing, 2020, 12(14): 2189.

    7.Yang Z, Zhao J, Zhao X, Huang C. Feature super-resolution-based method for small-scale target detection and segmentation in side-scan sonar[J]. Engineering Applications of Artificial Intelligence, 2025, 161: 112235.

    8.Yang Z, Zhao J, Zhao X, Huang C. Super-resolution reconstruction of side-scan sonar images based on texture consistency[J]. Expert Systems with Applications, 2025: 129033.

    9.Yang Z, Zhao J, Yu Y, Huang C. A sample augmentation method for side-scan sonar full-class images that can be used for detection and segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-11.

    10.Yu Y, Zhao J, Yi C, Huang C, Zhu W. Drill-Rep: Repetition counting for automatic shot hole depth recognition based on combined deep learning-based model[J]. Engineering Applications of Artificial Intelligence, 2023, 123: 106302.

    11.Yu Y, Zhao J, Huang C, et al. Treat noise as domain shift: Noise feature disentanglement for underwater perception and maritime surveys in side-scan sonar images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-15.

    12.Yu Y, Zhao J, Gong Q, Huang C, et al. Real-time underwater maritime object detection in side-scan sonar images based on transformer-YOLOv5[J]. Remote Sensing, 2021, 13(18): 3555.