多重分形分析在光学卫星图像水体分割中的应用

IF 1.2 Q3 PHYSICS, MULTIDISCIPLINARY

Papers in Physics Pub Date : 2017-11-15 DOI:10.4279/PIP.090007

V. Martin, A. Figliola

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引用次数: 1

摘要

本文研究了利用粗糙理论获得的遥感图像多重分形光谱的特征，提出了一种基于粗糙理论的水体分割方法。首先，计算了迭代函数系统生成的自相似图像的光谱，并与统计光谱进行了比较。然后，对光学遥感图像进行了研究，强调了其光谱与合成图像的差异。重点关注实像光谱的凹凸性及其在分析图像中的解释。这导致我们提出了一种水体分割方法。对该方法进行了测试，并将结果与研究地区的水幕进行了比较。对所提出的方法的局限性进行了评论。收稿日期:2017年5月29日，收稿日期:2017年9月20日;编辑:C. Muravchik;本文作者为V M San Martin, A Figliola, Papers in Physics 9,090007(2017)，使用知识共享署名许可3.0协议。

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Application of multifractal analysis to segmentation of water bodies in optical satellite images

In this paper we study the characteristics of multifractal spectra obtained for remote sensing images through the coarse theory and proposed a method for segmentation of water bodies based on it. In first place, spectra of self-similar images created with Iterated Function Systems are calculated and compared with their statistical spectra. Then, optical remote sensing images are studied, emphasizing the differences between their spectra and those obtained for synthetic images. Punctually, attention is focused on the concavity of real image spectra and on its interpretation in terms of the analyzed images. This lead us to the proposition of a segmentation method for water bodies. The method is tested and the results are compared with water masks of the regions under study. Comments are made about the limitations of the proposed method. Received: 29 May 2017, Accepted: 20 September 2017; Edited by: C. Muravchik; DOI: http://dx.doi.org/10.4279/PIP.090007 Cite as: V M San Martin, A Figliola, Papers in Physics 9, 090007 (2017) This paper, by V M San Martin, A Figliola , is licensed under the Creative Commons Attribution License 3.0 .

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来源期刊

Papers in Physics PHYSICS, MULTIDISCIPLINARY-

CiteScore

1.90

自引率

0.00%

发文量

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