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Road Asphalt Pavements Analyzed by Airborne Thermal Remote Sensing: Preliminary Results of the Venice Highway

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ABSTRACT

This paper describes a fast procedure for evaluating asphalt pavement surface defects using airborne emissivity data. To develop this procedure, we used airborne multispectral emissivity data covering an urban test area close to Venice (Italy).For this study, we first identify and select the roads' asphalt pavements on Multispectral Infrared Visible Imaging Spectrometer (MIVIS) imagery using a segmentation procedure. Next, since in asphalt pavements the surface defects are strictly related to the decrease of oily components that cause an increase of the abundance of surfacing limestone, the diagnostic absorption emissivity peak at 11.2μm of the limestone was used for retrieving from MIVIS emissivity data the areas exhibiting defects on asphalt pavements surface.The results showed that MIVIS emissivity allows establishing a threshold that points out those asphalt road sites on which a check for a maintenance intervention is required. Therefore, this technique can supply local government authorities an efficient, rapid and repeatable road mapping procedure providing the location of the asphalt pavements to be checked.

No MeSH data available.


Estimates of MIVIS SNR in the TIR spectral range calculated on the masked asphalt pavements of the study area.
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f6-sensors-08-01278: Estimates of MIVIS SNR in the TIR spectral range calculated on the masked asphalt pavements of the study area.

Mentions: The MIVIS sensor DN values, acquired in-flight on the internal blackbodies, were converted to emissivity following the same procedure used in § 3.1 [26,35], except for atmospheric correction. Atmospheric correction of the blackbody data was not taken into account, because the distance between the sensors and the blackbodies was negligible. The SNR of the TIR bands was, consequently, estimated by dividing the emissivity mean spectra of all masked asphalt pavement pixels (i.e., signal) by the standard deviation of blackbody emissivity (i.e., noise). Figure 6 shows MIVIS SNR calculated for the TIR spectral range on the masked asphalt pavements of the study area.


Road Asphalt Pavements Analyzed by Airborne Thermal Remote Sensing: Preliminary Results of the Venice Highway
Estimates of MIVIS SNR in the TIR spectral range calculated on the masked asphalt pavements of the study area.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3927529&req=5

f6-sensors-08-01278: Estimates of MIVIS SNR in the TIR spectral range calculated on the masked asphalt pavements of the study area.
Mentions: The MIVIS sensor DN values, acquired in-flight on the internal blackbodies, were converted to emissivity following the same procedure used in § 3.1 [26,35], except for atmospheric correction. Atmospheric correction of the blackbody data was not taken into account, because the distance between the sensors and the blackbodies was negligible. The SNR of the TIR bands was, consequently, estimated by dividing the emissivity mean spectra of all masked asphalt pavement pixels (i.e., signal) by the standard deviation of blackbody emissivity (i.e., noise). Figure 6 shows MIVIS SNR calculated for the TIR spectral range on the masked asphalt pavements of the study area.

View Article: PubMed Central - PubMed

ABSTRACT

This paper describes a fast procedure for evaluating asphalt pavement surface defects using airborne emissivity data. To develop this procedure, we used airborne multispectral emissivity data covering an urban test area close to Venice (Italy).For this study, we first identify and select the roads' asphalt pavements on Multispectral Infrared Visible Imaging Spectrometer (MIVIS) imagery using a segmentation procedure. Next, since in asphalt pavements the surface defects are strictly related to the decrease of oily components that cause an increase of the abundance of surfacing limestone, the diagnostic absorption emissivity peak at 11.2μm of the limestone was used for retrieving from MIVIS emissivity data the areas exhibiting defects on asphalt pavements surface.The results showed that MIVIS emissivity allows establishing a threshold that points out those asphalt road sites on which a check for a maintenance intervention is required. Therefore, this technique can supply local government authorities an efficient, rapid and repeatable road mapping procedure providing the location of the asphalt pavements to be checked.

No MeSH data available.