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Istituto sull'inquinamento atmosferico

Torna all'elenco Contributi in rivista anno 2014

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Integration of Field and Laboratory Spectral Data with Multi-Resolution Remote Sensed Imagery for Asphalt Surface Differentiation

Anno di pubblicazione: 2014

Autori: Mei, Alessandro; Salvatori, Rosamaria; Fiore, Nicola; Allegrini, Alessia; D'Andrea, Antonio

Affiliazioni autori: Natl Res Council CNR; Sapienza University Rome

Abstract: The ability to classify asphalt surfaces is an important goal for the selection of suitable non-variant targets as pseudo-invariant targets during the calibration/validation of remotely-sensed images. In addition, the possibility to recognize different types of asphalt surfaces on the images can help optimize road network management. This paper presents a multi-resolution study to improve asphalt surface differentiation using field spectroradiometric data, laboratory analysis and remote sensing imagery. Multispectral Infrared and Visible Imaging Spectrometer (MIVIS) airborne data and multispectral images, such as Quickbird and Ikonos, were used. From scatter plots obtained by field data using = 460 and 740 nm, referring to MIVIS Bands 2 and 16 and Quickbird and Ikonos Bands 1 and 4, pixels corresponding to asphalt covering were identified, and the slope of their interpolation lines, assumed as asphalt lines, was calculated. These slopes, used as threshold values in the Spectral Angle Mapper (SAM) classifier, obtained an overall accuracy of 95% for Ikonos, 98% for Quickbird and 93% for MIVIS. Laboratory investigations confirm the existence of the asphalt line also for new asphalts, too.

Pagine da: 2765

Pagine a: 2781

Pagine totali: 17

Rivista:

Remote sensing Molecular Diversity Preservation International
Paese di pubblicazione:
Lingua: inglese
ISSN: 2072-4292

Numero volume: 6

Numero fascicolo: 4

DOI: 10.3390/rs6042765

Indicizzato da: ISI Web of Science (WOS) [000336746900009]

Parole chiave:

  • asphalt
  • Spectral Angle Mapper
  • MIVIS
  • Quickbird
  • Ikonos

Strutture CNR:

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