基于WorldView-2遥感影像的龙湾港浅海水深反演

郭晓雷; 邱振戈; 沈蔚; 栾奎峰; 曹彬才; 吴忠强

doi:10.3969/j.issn.1001-909X.2017.03.004

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海洋学研究 ›› 2017, Vol. 35 ›› Issue (3) : 27-33. DOI: 10.3969/j.issn.1001-909X.2017.03.004

研究论文

基于WorldView-2遥感影像的龙湾港浅海水深反演

郭晓雷^1,2, 邱振戈^*1,2, 沈蔚^1,2, 栾奎峰^1,2, 曹彬才^1,2, 吴忠强^1,2

作者信息 +

Shallow water depth inversion in Longwan Port based on WorldView-2 Remote Sensing Image

GUO Xiao-lei^1,2, QIU Zhen-ge^*1,2, SHEN Wei^1,2, LUAN Kui-feng^1,2, CAO Bin-cai^1,2, WU Zhong-qiang^1,2

Author information +

文章历史 +

摘要

根据遥感水深反演原理,利用海南岛龙湾港的WorldView-2多光谱卫星数据和海图水深资料,通过对水深进行0~2,2~5,5~10,10~15和15~20 m的分区处理、潮汐改正和海图水深数据与相应图像波段反射率值的相关性分析及回归分析,建立了浅海水深线性回归反演模型,开展了浅海水深的实际计算与精度分析。结果表明:对不同水深范围分别建立线性回归模型反演的水深精度要高于未分区建立的模型;分区模型中,多波段模型在0~5 m的反演精度最高,而双波段比值模型在5~20 m的反演精度最高,但是反演水深在最浅处的精度还有待提高。本文方法提取的水深与海图水深数据变化趋势基本相似,可以满足海洋科学研究对大范围浅水水下地形探测的要求。

Abstract

According to the principle of remote sensing water depth inversion, WorldView-2 multi-spectral satellite data and chart depth data of Longwan Port in Hainan Island were used. The water depths in 0-2 m, 2-5 m, 5-10 m, 10-15 m and 15-20 m were partitively treated, tidal correction,the correlation analysis and regression analysis of chart water depth and the corresponding image band reflectivity values were also developed, and a piecewise linear model was built for shallow water bathymetry with which the actual calculation of shallow water depth and precision analysis were carried out. The results show that the depth accuracy of the partitioned linear regression model is higher than that of the non-partitioned model in different water depth ranges. In the partition model, the multi-band model has the highest inversion accuracy of 0-5 m, and the double-band ratio model has the highest inversion accuracy of 5-20 m, but inversion of the depth in the most shallow yet to be improved. The water depth extracted by this method is similar to that of chart water depth data, which can meet the requirements of marine scientific research on large-scale shallow underwater detection requirements.

导出引用

郭晓雷, 邱振戈, 沈蔚, 栾奎峰, 曹彬才, 吴忠强. 基于WorldView-2遥感影像的龙湾港浅海水深反演[J]. 海洋学研究. 2017, 35(3): 27-33 https://doi.org/10.3969/j.issn.1001-909X.2017.03.004

GUO Xiao-lei, QIU Zhen-ge, SHEN Wei, LUAN Kui-feng, CAO Bin-cai, WU Zhong-qiang. Shallow water depth inversion in Longwan Port based on WorldView-2 Remote Sensing Image[J]. Journal of Marine Sciences. 2017, 35(3): 27-33 https://doi.org/10.3969/j.issn.1001-909X.2017.03.004

中图分类号： P715.7

参考文献

[1] HUANG Wen-qian,WU Di,YANG Yang,et al. Multi-spectral remote sensing water depth retrieval technique in shallow sea[J].Ocean Technology,2013,32(2):43-46.
黄文骞,吴迪,杨杨,等.浅海多光谱遥感水深反演技术[J].海洋技术,2013,32(2):43-46.
[2] LYZENGA D R. Passive remote sensing techniques for mapping water depth and bottom features[J]. Applied Optics,1978,17(3):379-383.
[3] KANNO A, KOIBUCHI Y, ISOBE M. Statistical combination of spatial interpolation and multispectral remote sensing for shallow water bathymetry[J]. IEEE Geosci Remote Sens Lett,2011,8(1):64-67.
[4] WANG Yan-jiao, DONG Wen-jie, ZHANG Pei-qun,et al. Progress in water depth mapping from visible remote sensing data[J].Marine Science Bulletin,2007,26(5):92-101.
王艳姣,董文杰,张培群,等,水深可见光遥感方法研究进展[J].海洋通报,2007,26(5):92-101.
[5] SPITZER D, DIRKS R W J. Bottom influence on the reflectance of the sea[J]. International Journal of Remote Sensing,1987,8(3):279-290.
[6] CLARK R K. Comparison of models for remotely sensed bathymetry[R].AD-A197973,1987.
[7] MGENGEL V, SPITZER R J. Application of remote sensing data to mapping of shallow sea-floor near by Netherlands[J]. International Journal of Remote Sensing,1991,57(5):473-479.
[8] RICHARD P, KRISTINE H. Determination of water depth with high-resolution satellite imagery over variable bottom types[J]. Limnol Oceanogr,2003,48(2):547-556.
[9] DANG Fu-xing, DING Qian. A technique for extracting water depth information from multispectral scanner data in the South China Sea[J].Marine Science Bulletin,2003,22(3):55-59.
党福星,丁谦.利用多波段卫星数据进行浅海水深反演方法研究[J].海洋通报,2003,22(3):55-59.
[10] ZHANG Ying, ZHANG Dong, WANG Yan-jiao, et al. Study of remote sensing-based bathymetric method in sand-containing water bodies[J].Acta Oceannologica Sinica,2008,30(1):51-58.
张鹰,张东,王艳姣,等.含沙水体水深遥感方法的研究[J].海洋学报,2008,30(1):51-58.
[11] XU Hai-peng, MA Yi, LIANG Jian,et al. Bathymetry inversion based on semi-empirical model and error analysis of different water depth ranges[J].Coastal Engineering,2014,33(1):19-25.
许海蓬,马毅,梁建,等.基于半经验模型的水深反演及不同水深范围的误差分析[J].海岸工程,2014,33(1):19-25.
[12] ZHANG Xiao-dong, ZHANG Wen-jing, ZHU Shou-xian, et al. Study on the water depth extraction method using visible remote sensing in the Haikou Bay[J].Marine Science Bulletin,2016,35(1):54-63.
张晓冬,张文静,朱首贤,等.海口湾可见光遥感测深方法研究[J].海洋通报,2016,35(1):54-63.
[13] YE Ming, LI Ren-dong, XU Guo-peng. Some research advances and methodson water-depth monitoring by multispectral mage[J]. World Sci-Tech R & D,2007,29(2):76-79.
叶明,李仁东,许国鹏.多光谱水深遥感方法及研究进展[J].世界科技研究与发展,2007,29(2):76-79.
[14] WANG Qian-qian, WAN Jian-hua. Multi-source remote sensing water depth surveying in south China sea coral reef periphery[D]. Shandong: China University of Petroleum(East China),2014:1-62.
王茜茜,万剑华.南海礁盘周边水深多源遥感探测[D].山东:中国石油大学(华东),2014:1-62.
[15] PAREDES J M, SPERO R E. Water depth mapping from passive remote sensing data, under a generalized ratio assumption[J]. Applied Optics,1983,22(8):1 134-1 135.
[16] XU Sheng, ZHANG Ying, WANG Yan-jiao, et al. Application of multi-spectral imagery to water depth extraction in the Changjiang River Estuary[J]. Journal of Marine Sciences,2006,24(1):83-90.
徐升,张鹰,王艳姣,等.多光谱遥感在长江口水深探测中的应用[J].海洋学研究,2006,24(1):83-90.