首页> 外文期刊>Journal of Applied Remote Sensing >Bathymetric mapping of submarine sand waves using multiangle sun glitter imagery: a case of the Taiwan Banks with ASTER stereo imagery
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Bathymetric mapping of submarine sand waves using multiangle sun glitter imagery: a case of the Taiwan Banks with ASTER stereo imagery

机译:利用多角度太阳闪光图像对海底沙波进行测深地图绘制:以台湾银行的ASTER立体图像为例

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摘要

Submarine sand waves are visible in optical sun glitter remote sensing images and multiangle observations can provide valuable information. We present a method for bathymetric mapping of submarine sand waves using multiangle sun glitter information from Advanced Spaceborne Thermal Emission and Reflection Radiometer stereo imagery. Based on a multiangle image geometry model and a sun glitter radiance transfer model, sea surface roughness is derived using multiangle sun glitter images. These results are then used for water depth inversions based on the Alpers-Hennings model, supported by a few true depth data points (sounding data). Case study results show that the inversion and true depths match well, with high-correlation coefficients and root-mean-square errors from 1.45 to 2.46 m, and relative errors from 5.48% to 8.12%. The proposed method has some advantages over previous methods in that it requires fewer true depth data points, it does not require environmental parameters or knowledge of sand-wave morphology, and it is relatively simple to operate. On this basis, we conclude that this method is effective in mapping submarine sand waves and we anticipate that it will also be applicable to other similar topography types. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
机译:水下沙波在光学太阳闪光遥感影像中可见,多角度观测可以提供有价值的信息。我们提出了一种使用来自先进星载热发射和反射辐射计立体图像的多角度太阳闪光信息对海底沙波进行深海测绘的方法。基于多角度图像几何模型和太阳闪光辐射传递模型,使用多角度太阳闪光图像得出海面粗糙度。然后将这些结果用于基于Alpers-Hennings模型的水深反演,并由一些真实的深度数据点(测深数据)支持。实例研究结果表明,反演和真实深度吻合良好,相关系数高,均方根误差在1.45至2.46 m之间,相对误差在5.48%至8.12%之间。所提出的方法与先前的方法相比具有一些优点,因为它需要较少的真实深度数据点,不需要环境参数或沙波形态学知识,并且操作相对简单。在此基础上,我们得出结论,该方法可有效绘制海底砂波,并且我们预计该方法也将适用于其他类似的地形类型。 (C)作者。由SPIE根据Creative Commons Attribution 3.0 Unported License发布。

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