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Multiscale Analysis of Geometric Planar Deformations: Application to Wild Animal Electronic Tracking and Satellite Ocean Observation Data

机译:几何平面变形的多尺度分析:在野生动物电子跟踪和卫星海洋观测数据中的应用

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The development of animal tracking technologies (including GPS and ARGOS satellite systems) and the increasing resolution of remote-sensing observations call for tools extracting and describing the geometric patterns along a track or within an image over a wide range of spatial scales. Whereas shape analysis has largely been addressed over the last decades, the multiscale analysis of the geometry of opened planar curves has received little attention. We here show that classical multiscale techniques cannot properly address this issue and propose an original wavelet-based scheme. To highlight the generic nature of our multiscale wavelet technique, we report applications to two different observation data sets, namely, wild animal movement paths recorded by electronic tags and satellite observations of sea-surface geophysical fields.
机译:动物跟踪技术(包括GPS和ARGOS卫星系统)的发展以及遥感观测分辨率的提高,要求使用工具来提取和描述沿轨道或大范围空间图像中的几何图案。在过去的几十年中,形状分析已得到了很大的关注,而对打开的平面曲线的几何形状的多尺度分析却很少受到关注。我们在这里显示经典的多尺度技术无法正确解决此问题,并提出了一种基于小波的原始方案。为了突出我们多尺度小波技术的一般性质,我们报告了两种不同观测数据集的应用,即电子标签记录的野生动物运动路径和海面地球物理场的卫星观测。

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