2009
DOI: 10.1016/j.isprsjprs.2009.03.003
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Discrimination between marls and limestones using intensity data from terrestrial laser scanner

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Cited by 125 publications
(80 citation statements)
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“…Intensity, which is insensitive to ambient light and shadowing [5], is initially used to improve point cloud separability. Apart from visualization purposes, intensity data can be used as a major or complementary data source in various studies, such as vegetation and forest investigation [6,7], road traffic marking identification [8,9], water content extraction [6,[10][11][12][13], metro tunnel inspection [10,14], and lithological differentiation [5,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Intensity, which is insensitive to ambient light and shadowing [5], is initially used to improve point cloud separability. Apart from visualization purposes, intensity data can be used as a major or complementary data source in various studies, such as vegetation and forest investigation [6,7], road traffic marking identification [8,9], water content extraction [6,[10][11][12][13], metro tunnel inspection [10,14], and lithological differentiation [5,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, for each point, the intensity of the reflected signal is acquired. The intensity data can provide some information about the type of material and the soil moisture content of the targets (Pesci and Teza 2008;Voegtle et al 2008;Franceschi et al 2009). …”
Section: Gb-insar Monitoringmentioning
confidence: 99%
“…This can be achieved directly using laser scanning, and for laser scanning projects, integration with imagery is often crucial for adding interpretive value in the form of colour and texture. Indeed, a noticeable trend is the desirability of value-added laser point clouds, where the 3D information is enhanced with RGB (red, green, blue) colour, laser intensity, or multi-or hyperspectral imagery (Franceschi et al, 2009;Burton et al, 2011;Kurz et al, 2011).…”
Section: Past Activities-within Isprs and Beyond!mentioning
confidence: 99%