A spatial resolution effect analysis of remote sensing bathymetry

被引：0
作者：
Jian Liang
Jie Zhang
Yi Ma
机构：
[1] Dalian Maritime University,Information Science and Technology College
[2] State Oceanic Administration,The First Institute of Oceanography
来源：
Acta Oceanologica Sinica | 2017年 / 36卷
关键词：
remote sensing; spatial resolution; water depth remote sensing inversion;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A spatial resolution effect of remote sensing bathymetry is an important scientific problem. The in situ measured water depth data and images of Dongdao Island are used to study the effect of water depth inversion from different spatial resolution remote sensing images. The research experiments are divided into five groups including QuickBird and WorldView-2 remote sensing images with their original spatial resolution (2.4/2.0 m) and four kinds of reducing spatial resolution (4, 8, 16 and 32 m), and the water depth control and checking points are set up to carry out remote sensing water depth inversion. The experiment results indicate that the accuracy of the water depth remote sensing inversion increases first as the spatial resolution decreases from 2.4/2.0 to 4, 8 and 16 m. And then the accuracy decreases along with the decreasing spatial resolution. When the spatial resolution of the image is 16 m, the inversion error is minimum. In this case, when the spatial resolution of the remote sensing image is 16 m, the mean relative errors (MRE) of QuickBird and WorldView-2 bathymetry are 21.2% and 13.1%, compared with the maximum error are decreased by 14.7% and 2.9% respectively; the mean absolute errors (MAE) are 2.0 and 1.4 m, compared with the maximum are decreased by 1.0 and 0.5 m respectively. The results provide an important reference for the selection of remote sensing data in the study and application of the remote sensing bathymetry.
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页码：102 / 109
页数：7
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  • [1] Atkinson P M(1997)Scaling-up point snow depth data in the U.K. for comparison with SSM/I imagery International Journal of Remote Sensing 18 437-443
  • [2] Kelly R E J(2007)Research on scale selection and mapping of inspecting biologic diversity using remote sensing Geography and Geo-Information Science 23 78-81
  • [3] Fang B(2008)A review on cholce of optimal scale in remote sensing Remote Sensing Information 23 96-99
  • [4] Chen B(2011)Research on remote sensing image scale issue based on variogram suit Technology Wind 4 34-35
  • [5] Zhang Yuan(2006)Analysis to the relationship of feature size, objects scales, image resolution Remote Sensing Technology and Application 21 243-248
  • [6] Han P(1992)On the issues of scale, resolution, and fractal analysis in the mapping sciences Professional Geographer 44 88-98
  • [7] Gong Jianya(2013)Forecasting potential bark beetle outbreaks based on spruce forest vitality using hyperspectral remote-sensing techniques at different scales Forest Ecology and Management 308 76-89
  • [8] Hu G(2013)Prospects on future developments of quantitative remote sensing Acta Geographica Sinica 68 1163-1169
  • [9] Fu Y(2015)Analysis of the influence of the amount and proportion of control points and check points on the accuracy of bathymetry remote sensing inversion Marine Science 39 15-19
  • [10] Hu Xiaobao(2014)Simulation and correction of spatialscaling effects for leaf area index Journal of Remote Sensing 18 1158-1168
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