Methodologies to identify asbestos-cement roofing by remote data
Methodologies to identify asbestos-cement roofing by remote data
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DOI：
10.5721/itjrs20124413
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发表时间：
2012-01-01
影响因子：
--
通讯作者：
Allegrini, Alessia
中科院分区：
文献类型：
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作者：
Giannini, Massimiliano Basile;Creta, Teresa;Allegrini, Alessia
砷对人体健康有多种危害，是一个特别严重的环境问题。在意大利，第257/92号法律禁止所有含有石棉的产品，并提供了有建筑物的普查地区。本研究的目的是开发一种快速可靠的技术，检测，识别和映射石棉水泥屋顶的MIVIS（多光谱红外和可见光成像光谱仪）高光谱数据。采用最小噪声因子（MNF）和混合匹配滤波（MTMF）技术对MIVIS图像进行处理，并采用光谱角映射（SAM）算法对图像进行分类。这项研究已在雷焦卡拉布里亚省（意大利南部）的一个地区进行。
Asbestos is a particularly serious environmental problem because of multiple harmful effects on human health. In Italy, law n.257/92 has banned all products containing asbestos and has provided by census regions where buildings were present. The objective of this study is to develop a quickly and reliable technique to detect, identify and map asbestos-cement roofing by MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) hyperspectral data. MIVIS images have been processed by Minimum Noise Fraction (MNF), Mixture Tuned Matched Filtering (MTMF) techniques and classified by Spectral Angle Mapper (SAM) algorithm. This study has been carried out in an area of Reggio Calabria province (southern Italy).