(一) 科技奖励列表
1. 吴自银(R4),国家科学技术进步奖 二等奖: 中国海大陆架划界关键技术研究及应用, 2015.
2. 吴自银(R1),自然资源科学技术奖 特等奖:中国海复杂地理实体划定关键技术及重大应用,2023年;
3. 吴自银(R1),海洋工程科学技术奖 特等奖:复杂浅海地形一体化和智能探测关键技术及应用,2019年;
4. 吴自银(R1),浙江省科学技术进步奖 一等奖:中国海海底地形地貌探测与地理实体命名关键技术及应用,2022年;
5. 吴自银(R1),海洋科学技术奖 一等奖:浅海复杂地形大面积高效探测关键技术与应用,2018年;
6. 吴自银(R1), 青岛市科学技术奖 一等奖:多波束测深精细处理关键技术研发及应用,2010年;
7. 吴自银(R1),浙江省科学技术进步奖 二等奖:中国海海洋地质调查新成果集成与应用,2021年;
8. 吴自银(R1),浙江省科学技术进步奖 二等奖:海陆过渡带地形地貌探测关键技术与应用,2018年;
9. 吴自银(R1), 测绘科技进步奖 二等奖:精密多波束质量控制体系与数据处理关键技术研发及应用,2011年;
10. 吴自银(R1),浙江省专利奖 金奖:一种基于多来源水深数据融合的海底地形地貌构建方法,2016年;
11. 吴自银(R1),海洋优秀图书奖:中国近海海洋地质,2022年;
12. 吴自银(R1),海洋优秀图书奖:中国周边海域海底地理实体图集丛书,2023年;
(二)著作与图集
1. 吴自银 等著,高分辨率海底地形地貌——探测处理理论与技术,科学出版社,2017.pp332
2. 吴自银 等著,高分辨率海底地形地貌——可视计算与科学应用,科学出版社,2017.pp374
3. 吴自银 温珍河 主编,《中国海海洋地质系列图》,科学出版社,2019,ISBN 978-7-03-062655-4
4. Wu Z.( 吴自银 ),Yang F.,Tang Y.,et al.,《High-Resolution Seafloor Survey and Applications》,Springer & Science Press,2020,Beijing.pp625,ISBN 978-7-03-066031-9
5. 吴自银 温珍河 等著,中国近海海洋地质,科学出版社,2020.pp589,ISBN 9787030660329
6. 吴自银 主编,《中国周边海域海底地形与地名图》,中国地图出版社,2021,ISBN 978-7-5204-2243-7
7. Wu Ziyin eds. Maps of Submarine Topographic and Undersea Feature Names of China's Surrounding Seas. Sinomap Press, 2021
8. 吴自银 主编,《中国周边海域海底地理实体图集丛书》[3册],海洋出版社,2021
9. 吴自银,邢喆 等著. 渤海、黄海、东海和台湾以东海域海底地理实体图集, 海洋出版社,2022
10. 吴自银,赵荻能 等著.南海北部海底地理实体图集, 海洋出版社,2022
11. 朱本铎,刘丽强,赵荻能 等著.南海南部海底地理实体图集, 海洋出版社,2022
12. 王胜平,赵建虎,吴自银. 水下地磁匹配导航定位关键技术研究,中国地质大学出版社,2017
13. 蔡峰, 吴自银,周兴华,周成虎, 中国近海海洋图集—海底地形地貌, 北京: 海洋出版社, 2016.
14. 蔡峰,曹超,周兴华, 吴自银, 中国近海海洋—海底地形地貌, 北京: 海洋出版社, 2013.
(三)代表论文
1. Zhou, J., He, Q., Qu, Y., Zhao, D., Wu, Z., & Yang, J. (2023). Arbitrary wavefront uncertainty evaluation for the Shack–Hartmann wavefront sensor using physical optics propagation. Applied Physics Letters, 123(7).
2. Chen, X., Luo, X., Wu, Z., Qin, X., Shang, J., Xu, H., ... & Wan, H. (2023). A VGGNet-based correction for satellite altimetry-derived gravity anomalies to improve the accuracy of bathymetry to depths of 6 500 m. Acta Oceanologica Sinica, 42, 1-10.
3. Wan, H., Luo, X., Wu, Z., Qin, X., Chen, X., Li, B., ... & Zhao, D. (2023). Multi-Featured Sea Ice Classification with SAR Image Based on Convolutional Neural Network. Remote Sensing, 15(16), 4014.
4. Zhang, K., Wang, Y., Luo, Y., Zhao, D., Wang, M., Yang, F.*, & Wu, Z.* (2023). Complex tsunamigenic near-trench seafloor deformation during the 2011 Tohoku–Oki earthquake. Nature Communications, 14(1), 3260.
5. Wang, M., Wu, Z.*, Zhang, K., Zhao, D., Zhou, J., Luo, X., ... & Sun, K. (2023). Mixed Seabed Sediment Classification Based on Transferred Convolutional Neural Network: A Case Study in the Ancient River Valley. IEEE Transactions on Geoscience and Remote Sensing.
6. Wu, Z., Zhao, D., Zhou, J., Liu, Z., Wang, M., Shang, J., ... & Qin, X. (2023). Formation mechanism of deep-sea giant pockmarks: A case study of the Reed Basin in the South China Sea. Geomorphology, 108726.
7. Qin, X., Wu, Z.*, Luo, X.*, Li, B., Zhao, D., Zhou, J., ... & Chen, X. (2023). Temporal Fusion Based 1-D Sequence Semantic Segmentation Model for Automatic Precision Side Scan Sonar Bottom Tracking. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-16.
8. Cui J, Luo X, Wu Z, Zhou J, Wan H, Chen X, Qin X. High-Precision Inversion of Shallow Bathymetry under Complex Hydrographic Conditions Using VGG19—A Case Study of the Taiwan Banks. Remote Sensing. 2023; 15(5):1257.
9. Chen X, Luo X, Wu Z, Qin X, Shang J, Li B, Wang M, Wan H. A VGGNet-Based Method for Refined Bathymetry from Satellite Altimetry to Reduce Errors. Remote Sensing. 2022; 14(23):5939. https://doi.org/10.3390/rs14235939
10. Liu, P., Jin, S., & Wu, Z. (2022). Assessment of the Seafloor Topography Accuracy in the Emperor Seamount Chain by Ship-Based Water Depth Data and Satellite-Based Gravity Data. Sensors, 22(9), 3189.
11. Zhou,J.,Wu,Z.*, Zhao,D., et al.Effect of topographic background on sand wave migration on the eastern Taiwan Banks. Geomorphology,2022
12. ZHANG H.; Wang, J.; Li, D.; Fu, B.; Lou, X.; Wu, Z*. Reconstruction of large complex sand-wave bathymetry with adaptive partitioning combining satellite imagery and sparse multi-beam data. Journal of Oceanology and Limnology,2022
13. Cui, X., Yang, F., Wu, Z., Zhang, K., Fan, M., & Ai, B. (2022). Deep-Sea Sediment Mixed Pixel Decomposition Based on Multibeam Backscatter Intensity Segmentation. IEEE Transactions on Geoscience and Remote Sensing.
14. Zhang, K., Wang, X., Wu, Z.*, Yang, F.*, Zhu, H., Zhao, D., & Zhu, J. (2022). Improving Statistical Uncertainty Estimate of Satellite-Derived Bathymetry by Accounting for Depth-Dependent Uncertainty. IEEE Transactions on Geoscience and Remote Sensing.
15. Yin, S., Pope, E. L., Lin, L., Ding, W., Gao, J., Wu, Z., ... & Li, J. (2021). Re-channelization of turbidity currents in South China Sea abyssal plain due to seamounts and ridges. Marine Geology, 106601.
16. Xiaowen Luo, Di Wang, Jinling Wang, Ziyin Wu*,et al.,Study of the spatiotemporal characteristics of the Equatorial Ionization Anomaly using shipborne multi-GNSS data: a case analysis (120°E-150°E, western Pacific Ocean, 2014-2015), Remote Sensing,2021
17. X. Qin, X. Luo,* Z. Wu*, J. Shang and D. Zhao, "Deep Learning-Based High Accuracy Bottom Tracking on 1-D Side-Scan Sonar Data," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2021.3076231.
18. Zhao D., Wu Z.*,Zhou J., et al., From 10 m to 11000 m, Automatic Processing Multi-Beam Bathymetric Data Based on PGO Method,IEEE Access, vol. 9, pp. 14516-14527, 2021, doi: 10.1109/ACCESS.2021.3051909.
19. Qin, X., Luo, X.*, Wu, Z.*, & Shang, J. (2021). Optimizing the Sediment Classification of Small Side-scan Sonar Images Based on Deep Learning. IEEE Access.
20. Wang, M., Wu, Z. *, Best, J., Yang, F. *, Li, X., Zhao, D., Zhou, J. 2020. Using multibeam backscatter to analyze the distribution of manganese nodules: A case study of seamounts in the Western Pacific Ocean, Applied Acoustics
21. Ziyin Wu, Dineng Zhao*, J.P.M. Syvitski, et al., 2020. Anthropogenic impacts on the decreasing sediment loads of nine major rivers in China, 1954–2015. Science of the Total Environment
22. Jieqiong Zhou, Ziyin Wu*, Dineng Zhao, et al., 2020. Giant sand waves on the Taiwan Banks, southern Taiwan Strait: Distribution, morphometric relationships, and hydrologic influence factors in a tide-dominated environment. Marine Geology, 427:106238
23. Yang A.,Wu Z.*,Yang F.* et al.,Filtering of airborne LiDAR bathymetry based on bidirectional cloth simulation,ISPRS Journal of Photogrammetry and Remote Sensing,2020,163:49-61
24. Huo G., Wu Z.*,Li J.,Underwater Object Classification in Sidescan Sonar Images using Deep Transfer Learning and Semisynthetic Training Data,IEEE Access, 2020.
25. Zhao D.,Wu Z.*,Zhou J.,et al. Parameter Group Optimization by Combining CUBE with Surface Filtering and Its Application[J]. Journal of Geodesy and Geoinformation Science, 2020, 3(2): 81-92
26. Zhang, K., Li, Q., Zhu, H., Yang, F.*, & Wu, Z*. (2019). Acoustic deep-sea seafloor characterization accounting for heterogeneity effect. IEEE Transactions on Geoscience and Remote Sensing, 58(5), 3034-3042.
27. Liu, Y., Wu, Z.*, Zhao, D., et al., Construction of High-Resolution Bathymetric Dataset for the Mariana Trench,IEEE Access,2019,7, 142441-142450
28. Wang, D., Luo, X., Wang, J., Gao, J., Zhang, T., Wu, Z., ... & Wu, Z. (2019). Global Ionospheric Model Accuracy Analysis Using Shipborne Kinematic GPS Data in the Arctic Circle. Remote Sensing, 11(17), 2062
29. Yin, S., Lin, L., Pope, E. L., Li, J., Ding, W., Wu, Z., ... & Zhao, D. (2019). Continental slope-confined canyons in the Pearl River Mouth Basin in the South China Sea dominated by erosion, 2004–2018. Geomorphology, 344, 60-74.
30. Luo, X., Qin, X., Wu, Z.*, Yang, F., Wang, M., & Shang, J. (2019). Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks. IEEE Access, 7, 98331-98339.
31. Wang, H., Tao, C., Chen, S., Wu, Z., Du, Y., Zhou, J., ... & Liu, Y. (2018). High-precision seismic data reconstruction with multi-domain sparsity constraints based on curvelet and high-resolution Radon transforms. Journal of Applied Geophysics.
32. Wu, Z., Milliman, J. D.*, Zhao, D., Cao, Z., Zhou, J., & Zhou, C. (2018). Geomorphologic changes in the lower Pearl River Delta, 1850–2015, largely due to human activity. Geomorphology, 314, 42-54
33. Wang, M.; Wu, Z.*; Yang, F.*; Ma, Y.; Wang, X.H.; Zhao, D. Multifeature Extraction and Seafloor Classification Combining LiDAR and MBES Data around Yuanzhi Island in the South China Sea. Sensors 2018, 18, 3828.
34. Zhou, J., Wu, Z.*, Jin, X., Zhao, D., Cao, Z., & Guan, W. (2018). Observations and analysis of giant sand wave fields on the Taiwan Banks, northern South China Sea. Marine Geology, 406, 132-141.
35. Huo, G., Wu, Z.*, Li, J., & Li, S. (2018). Underwater Target Detection and 3D Reconstruction System Based on Binocular Vision. Sensors, 18(10), 3570
36. Yin S., Li J., Ding W., Sawyer D. E., Wu Z., & Tang Y. (2018). Sedimentary filling characteristics of the South China Sea oceanic basin, with links to tectonic activity during and after seafloor spreading. International Geology Review, 1-21
37. Wang, S., Dai, L., Wu, Z.*, Li, J., & Wei, Y. (2018). Multibeam Bathymetric Data Quality Control based on Robust Least Square Collocation of Improved Multi-quadric Function. Journal of Engineering Science & Technology Review, 11(3)
38. Wang, S., Zhou, P., Wu, Z.*, Li, J., & Wei, Y. (2018). Detection and Elimination of Bathymetric Outliers in Multibeam Echosounder System Based on Robust Multi-quadric Method and Median Parameter Model. Journal of Engineering Science & Technology Review, 11(3)
39. Li, Q., Ming, P., Yang, F., Zhang, K., & Wu, Z. (2018). Comparison of two Bayesian-point-estimation methods in multiple-source localization. Acta Oceanologica Sinica, 37(6), 11-17
40. Wu, Z., Jin, X., Zhou, J., Zhao, D., Shang, J., Li, S., ... & Liang, Y. (2017). Comparison of buried sand ridges and regressive sand ridges on the outer shelf of the East China Sea. Marine Geophysical Research, 38(1-2), 187-198
41. Wu, Z., Li, J., Li, S., Shang, J., & Jin, X. (2017). A new method to identify the foot of continental slope based on an integrated profile analysis. Marine Geophysical Research, 38(1-2), 199-207
42. Luo, X., Wu, Z.*, & Deng, L. (2017). Seabed Surface Sand Sampling Device Simple, Effective Tool for Geological Research. SEA TECHNOLOGY, 58(9), 36-37
43. Luo, X., Xu, H., Li, Z., Zhang, T., Gao, J., Shen, Z., ... & Wu, Z. (2017). Accuracy assessment of the global ionospheric model over the Southern Ocean based on dynamic observation. Journal of Atmospheric and Solar-Terrestrial Physics, 154, 127-131
44. Wang, S., Wang, J., Wu, Z.*, Wei, Y., & Ouyang, L. (2017). Instantaneous datum reconstruction method of multi-beam transducer in short- time gps signal anomaly. Journal of Engineeringence & Technology Review, 10(6), 70-78
45. Wu, Z. Y., Saito, Y., Zhao, D. N., Zhou, J. Q., Cao, Z. Y., Li, S. J., ... & Liang, Y. Y. (2016). Impact of human activities on subaqueous topographic change in Lingding Bay of the Pearl River estuary, China, during 1955–2013. Scientific reports, 6, 37742
46. Liu R, Wang Y, Gao J,Wu Z, et al., Turbidity maximum formation and its seasonal variations in the Zhujiang (Pearl River) Estuary, southern China, Acta Oceanologica Sinica, 8(35), pp 22-31, 2016
47. Wang S, Zhou P, Wu Z*, et al., A Method for Weakening Residual Errors in Multi-beam Swath Joins based on Terrain Spectrum Analysis, Journal of Engineering Science and Technology Review, 4(9), pp 65-73, 2016
48. Zhao, D., Wu, Z.*, Zhou, J., Li, J., Shang, J., & Li, S. (2015). A new method of automatic SVP optimization based on MOV algorithm. Marine Geodesy, 38(3), 225-240
49. Wu, Z., Milliman, J. D., Zhao, D., Zhou, J., & Yao, C. (2014). Recent geomorphic change in LingDing Bay, China, in response to economic and urban growth on the Pearl River Delta, Southern China. Global and Planetary Change, 123, 1-12.
50. Wu, Z., Li, J., Jin, X., Shang, J., Li, S., & Jin, X. (2014). Distribution, features, and influence factors of the submarine topographic boundaries of the Okinawa Trough. Science China Earth Sciences, 57(8), 1885-1896.
51. Wu Ziyin,Li Jiabiao,Jin Xianglong,Fang Yinxia,Shang Jihong,Li Shoujun, Methods andprocedures to determinethe outer limits of the continental shelf beyond 200nautical miles , Acta Oceanologica Sinica, 32(12), pp 126-132, 2013
52. Li jiabiao,Ding Weiwei,Wu ziyin,Zhang jie, The propagation of seafloor spreading in the southwestern subbasin,South China Sea, Chinese Science Bulletin, 57(24), pp 3182-3191, 2012
53. Wu, Z., Jin, X., Cao, Z., Li, J., Zheng, Y., & Shang, J. (2010). Distribution, formation and evolution of sand ridges on the East China Sea shelf. Science in China Series D: Earth Sciences, 53(1), 101-112
54. Wu Ziyin,Chu Fengyou,Ma Weilin,Li Shoujun,Shang Jihong, Resources calculation of cobalt-rich crusts with the grid subdivision and integral method, Acta Oceanologica Sinica, 26(5), pp 43-53, 2007
55. Ziyin, W., Fengyou, C. H. U., Weilin, M., Shoujun, L., & Jihong, S. H. A. N. G. (2018). Resources calculation of cobalt-rich crusts with the grid subdivision and integral method. Acta Oceanologica Sinica, 26(5), 43-53.
56. Yang, F., Li, J., Wu, Z., Jin, X., Chu, F., & Kang, Z. (2007). A post-processing method for the removal of refraction artifacts in multibeam bathymetry data. Marine Geodesy, 30(3), 235-247
57. Wu, Z., Jin, X., Li, J., Zheng, Y., & Wang, X. (2005). Linear sand ridges on the outer shelf of the East China Sea. Chinese Science Bulletin, 50(21), 2517-2528.
58. JiaBiao, L., Xianglong, J., Aiguo, R., Shimin, W., Ziyin, W., & Jianhua, L. (2004). Indentation tectonics in the accretionary wedge of middle Manila Trench. Chinese science bulletin, 49(12), 1279-1288
59. 李家彪, 丁巍伟, 高金耀, 吴自银, 张洁. 南海新生代海底扩张的构造演化模式:来自高分辨率地球物理数据的新认识[J]. 地球物理学报,2011,54(12):3004-3015.(SCI)
60. 尚继宏, 李家彪, 吴自银. 马尼拉俯冲带中段增生楔精细构造特征及微型圈闭盆地发育模式探讨[J]. 地球物理学报,2010,53(01):94-101.(SCI)
61. 孙和平, 李倩倩, 鲍李峰, 吴自银, 武凛.全球海底地形精细建模进展与发展趋势[J].武汉大学学报(信息科学版),2022,47(10):1555-1567(EI)
62. 杨安秀, 吴自银, 阳凡林, 宿殿鹏, 冯成凯, 许方正.面向多波束测深数据的双向布料模拟自动滤波算法[J].武汉大学学报(信息科学版),2022,47(04):517-525+542. (EI)
63. 阳凡林, 朱正任, 李家彪, 冯成凯, 邢 喆, 吴自银.利用深层卷积神经网络实现地形辅助的多波束海底底质分类[J].测绘学报, 2021,50(1): 71-84(EI)
64. 刘志豪, 赵荻能, 吴自银, 阳凡林, 王明伟, 周洁琼. 联合不确定度的多期水深剖面分析方法及应用[J]. 测绘学报, 2020, 49(3): 386-395.(EI)
65. 刘洋, 吴自银*, 赵荻能, 周洁琼, 尚继宏, 王明伟, ... & 鲁号号. MF 多源测深数据融合方法及大洋水深模型构建. 测绘学报, 2019,48(9), 1171-1181.(EI)
66. 赵荻能, 吴自银*,李家彪,等.CUBE曲面滤波参数联合优选关键技术及应用,测绘学报,2019 ,48 (2): 245-255(EI)
67. 金绍华, 李家彪, 吴自银*, 边刚, 崔杨. 海底底质分类反向散射强度三维概率密度法[J]. 测绘学报,2019,48(01):124-131.(EI)
68. 金绍华, 李家彪, 吴自银*, 边刚, 崔杨. 利用EGM2008模型估算海洋重力测量测线布设间距[J]. 武汉大学学报(信息科学版),2018,43(09):1315-1319.(EI)
69. 李家彪, 丁巍伟, 吴自银, 孙湫词. 东海的来历[J]. 中国科学:地球科学,2017,47(04):406-411.(EI)
70. 王征, 金翔龙, 吴自银*, 方念乔, 董水利, 王海昆. 基于时窗种子提取的海洋地震资料侧面噪声压制方法[J]. 石油物探,2015,54(03):274-281.(EI)
71. 赵荻能, 吴自银*, 周洁琼, 李家彪, 李守军, 尚继宏. 声速剖面精简运算的改进D-P算法及其评估[J]. 测绘学报,2014,43(07):681-689.(EI)
72. 吴自银*, 李家彪, 阳凡林, 尚继宏, 李守军, 金肖兵. 一种大陆坡脚点自动识别与综合判断方法[J]. 测绘学报,2014,43(02):170-177.(EI)
73. 阳凡林, 李家彪, 吴自银, 赵俐红, 艾波. 多波束测深瞬时姿态误差的改正方法[J]. 测绘学报,2009,38(05):450-456.(EI)
74. 阳凡林, 李家彪, 吴自银, 金翔龙, 初凤友. 浅水多波束勘测数据精细处理方法[J]. 测绘学报,2008,(04):444-450+457.(EI)
75. 阳凡林, 吴自银, 独知行, 金翔龙. 多波束声纳和侧扫声纳数字信息的配准及融合[J]. 武汉大学学报(信息科学版),2006,(08):740-743.(EI)
(四)发布标准
1.吴自银(参编), 国家标准:GB/T 12763.10-2007《海洋调查规范第10部分:海底地形地貌调查》, 中国标准出版社, 2007.
2.吴自银 等,行业标准:《浅层剖面调查技术要求》(HY/T 253-2018),中国标准出版社,2019
3.吴自银 等,行业标准:《海底地形地貌调查导航定位技术要求》(HY/T 0351-2023),中国标准出版社,2023
4.吴自银 等,行业标准:《海底地形地貌调查单波束测深技术要求》(HY/T 0352-2023),中国标准出版社,2023
5.吴自银 等,行业标准:《无人船(艇)海底地形地貌调查技术要求》(HY/T 0353-2023),中国标准出版社,2023
6.阳凡林,石波,吴自银 等,行业标准:《船载海陆地形地貌一体化调查技术要求》(HY/T 0350-2023),中国标准出版社,2023
(五)授权发明专利
1. Wu Z., Li S., Shang J., et al, Submarine topography construction method based on multi-source water depth data integration,美国专利局, US.9361728B2
2. Wu Z., Li S., Shang J., et al, Submarine topography six-dimensional grid mapping method, 美国专利局, US.9316763B2;
3. Wu Z.,Li J.,Li S.,et al, Automatic recognition method of continental slope foot point based on terrain grid,美国专利局, US.9507052B2
4. Wu Ziyin,Shang Jihong,Li Shoujun,Zhao Dineng,Zhou Jieqiong, Multi-beam bathymetric chart construction method based on submarine digital depth model feature extraction, 美国专利局, US.9651698B2.
5. 吴自银,李家彪,张云飞 等.一种适用岛礁与岸滩的测量系统与方法,ZL.201711135241.7
6. 吴招才,韩喜球,吴自银 等.一种高精度海洋磁力的近底探测装置及探测方法,ZL.202310093209.6
7. 杨安秀,吴自银,阳凡林 等.一种基于双向布料模拟的机载激光测深点云滤波方法,ZL.201910902029.1
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