Wave runup video motion detection using the Radon Transform

被引：30

作者：

Almar, Rafael ^{[1
]}

Blenkinsopp, Chris ^{[2
]}

Almeida, Luis Pedro ^{[3
]}

Cienfuegos, Rodrigo ^{[4
,6
]}

Catalan, Patricio A. ^{[5
,6
,7
]}

机构：

[1] Univ Toulouse, CNRS, CNES, IRD,LEGOS, Toulouse, France

[2] Univ Bath, Bath, Avon, England

[3] CNES LEGOS, Toulouse, France

[4] Pontificia Univ Catolica Chile, DIHA, Santiago, Chile

[5] Univ Tecn Federico Santa Maria, Dept Obras Civiles, Valparaiso, Chile

[6] CONICYT FONDAP 1511007, Ctr Nacl Invest Gest Integrada Desastres Nat, Santiago, Chile

[7] Univ Tecn Federico Santa Maria, Ctr Cient Tecnol Valparaiso CCTVal, Valparaiso, Chile

来源：

COASTAL ENGINEERING | 2017年 / 130卷

基金：

英国工程与自然科学研究理事会;

关键词：

Nearshore; Image processing; Radon Transform; LiDAR; Swash zone; Shoreline; Flow motion; Groundwater seepage; SWASH-ZONE; SURF;

D O I：

10.1016/j.coastaleng.2017.09.015

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A new method of runup detection from video imagery is introduced and validated at an energetic dissipative beach. The instantaneous waterline is detected from uprush and backwash by using the Radon Transform (RT). The method is compared to conventional color contrast method from RGB images and LiDAR measurements. In our observations, the RT shows better detection skill even for adverse conditions, such as those present on flat dissipative swash zones where contrast is reduced. Because the RT is a proxy of deeper waterline (similar to 0.1 m) it is less sensitive to lack of contrast due to sand saturation. Moreover, since it is based on motion detection, it is less sensitive to changes in lighting conditions. Overall, the RT offers an attractive alternative for long term automated detection of the runup.

引用

页码：46 / 51

页数：6

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