基于飞机和无人机的输水系统多光谱遥感泄漏检测

C. Chatelard, I. Legoff, Guillaume Serra, Javier Sanchis Muñoz, J. Krapez, C. Mazel, Vincent Olichon, Juan Barba Polo, Y. Frédéric, F. Hélias, P. Barillot
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引用次数: 2

摘要

2017年,在普罗旺斯(法国)的SCP(法国普罗旺斯运河社会组织)网络上进行了一系列测量活动,评估了机载遥感对城市以外地区水运管道的漏水检测。该图像数据库(VNIR, SWIR, TIR光谱范围)中显示高湿度区域和人工泄漏的最合适的波长和组合使我们能够为两种类型的平台(载人和无人)选择最佳的机载仪器。这项工作旨在验证在2018年10月的新空降战役框架下与飞机和无人机在作战环境中的多光谱方法(三角方法)相关的该仪器的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leak Detection in Water Transmission Systems by Multispectral Remote Sensing With Airplane and UAV
Water leak detection in water transportation mains outside urban areas by airborne remote sensing has been assessed with a series of measurement campaigns in 2017 over SCP (Société du Canal de Provence – France) network in Provence (Fr). The most appropriate wavelengths and combination for revealing high moisture areas and artificial leaks coming from this image database (VNIR, SWIR, TIR spectral range) allowed us to select the best onboard instrumentation for both types of platforms (manned & unmanned). This work aims at validating the choice of this instrumentation associated with the multispectral approach (Triangle method) in the framework of a new airborne campaign in October 2018 with a plane and an UAV in operational environment.
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