基于网络的淹没面积探测评估

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2012-08-08 DOI:10.1109/SNPD.2012.75

P. Limlahapun, H. Fukui

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引用次数: 0

摘要

采用基于目标的图像处理技术对陆地卫星图像进行淹没区域检测。我们开发了一个可互操作的网络系统来进行分析，从而有效地消除了陆地卫星图像处理中的冗余步骤。审查过程用于发现和开发合适的算法，以自动检测淹没区域，并立即将结果传输到基于web的界面。这是对目前可用的洪水探测系统方法的重大改进。该工具有望成为一个实用的淹没区探测功能，并适用于广泛的地区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Web-Based Assessment for Inundated Area Detection

An object-based image processing technique is applied to detect inundated areas using Land sat images. An interoperable Web-based system was developed to conduct the analyses so that redundant steps in Land sat image processing can be effectively eliminated. A review process is used to discover and develop suitable algorithms to automatically detect inundated areas and immediately transfer the results to the Web-based interface. This is a significant improvement over currently available methods for inundation detection systems. The tool is expected to be a practical inundated area detection function and be applicable across wide-reaching areas.

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来源期刊

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

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