Hyperspectral Data in Urban Areas
Change detection; Data fusion; Hyperspectral images; Hyperspectral sensors; Image processing; Material identification; Remote sensing
The scope of this entry is to introduce hyperspectral remote sensing data and its applications in urban environment.
In the last decades imaging spectroscopy (Goetz et al. 1985), commonly referred to as hyperspectral remote sensing, has become a widely used method for identification and quantification of surface materials in different kinds of environments, such as urban, rural, and geological areas (Heiden et al. 2012).
A hyperspectral sensor is able to record a high number of spectral bands, corresponding to narrow contiguous wavelength intervals. This characteristic permits the discrimination of different materials based on their unique spectral characteristics, called spectral signature. In general, two materials can be distinguished by broad and narrow spectral reflectance features determined by the chemical composition of the...
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