A cloud-integrated web platform for marine monitoring using GIS and remote sensing. Application to oil spill detection through SAR images

被引：43

作者：

Fustes, Diego ^{[1
]}

Cantorna, Diego ^{[1
]}

Dafonte, Carlos ^{[1
]}

Arcay, Bernardino ^{[1
]}

Iglesias, Alfonso ^{[1
]}

Manteiga, Minia ^{[1
]}

机构：

[1] Univ A Coruna, Fac Informat, La Coruna 15071, Spain

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2014年 / 34卷

关键词：

Ocean monitoring; GIS; Cloud computing; Remote sensing;

D O I：

10.1016/j.future.2013.09.020

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Geographic Information Systems (GIS) have gained popularity in recent years because they provide spatial data management and access through the Web. This article gives a detailed description of a tool that offers an integrated framework for the detection and localization of marine spills using remote sensing, GIS, and cloud computing. Advanced segmentation algorithms are presented in order to isolate dark areas in SAR images, including fuzzy clustering and wavelets. In addition, cloud computing is used for scaling up the algorithms and providing communication between users. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：155 / 160

页数：6

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