Automatic Extraction of Shoreline from Satellite Images: a new approach.

被引：0

作者：

Spinosa, Anna ^{[1
]}

Ziemba, Alex ^{[1
]}

Saponieri, Alessandra ^{[2
]}

Navarro-Sanchez, Victor D. ^{[3
]}

Damiani, Leonardo ^{[2
]}

El Serafy, Ghada ^{[1
]}

机构：

[1] Deltares, Dept IRP, Delft, Netherlands

[2] Politecn Bari, Dept DICATECh, Bari, Italy

[3] Starlab Barcelona SL, Dept Space Business Unit, Barcelona, Spain

来源：

2018 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR THE SEA; LEARNING TO MEASURE SEA HEALTH PARAMETERS (METROSEA) | 2018年

基金：

欧盟地平线“2020”;

关键词：

Sentinel-1; SAR images; Image processing; Shoreline extraction; Coastal monitoring; SAR IMAGES; COASTLINE;

D O I：

暂无

中图分类号：

P7 [海洋学];

学科分类号：

0707 ;

摘要：

Remote sensing and satellite imagery have become commonplace in efforts to monitor and model various biological and physical characteristics of the Earth. The land water interface is a continually evolving landscape of high scientific and societal interest, making the mapping and monitoring thereof particularly important. This paper aims at describe a new automated method of shoreline position detection through the utilization of Synthetic Aperture Radar (SAR) images derived from European Space Agency (ESA) satellites. The resultant delineated shorelines are validated against those derived from video-monitoring systems extracted and in-situ monitoring; a mean distance of 1 to 3.51 pixels is found.

引用

页码：33 / 38

页数：6

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