Limits...
Discrimination between Sedimentary Rocks from Close-Range Visible and Very-Near-Infrared Images.

Del Pozo S, Lindenbergh R, Rodríguez-Gonzálvez P, Kees Blom J, González-Aguilera D - PLoS ONE (2015)

Bottom Line: This paper proposes the use of a low-cost handy sensor, a calibrated visible-very near infrared (VIS-VNIR) multispectral camera for the recognition of different geological formations.The spectral data was recorded by a Tetracam Mini-MCA-6 camera mounted on a field-based platform covering six bands in the spectral range of 0.530-0.801 µm.Twelve sedimentary formations were selected in the Rhône-Alpes region (France) to analyse the discrimination potential of this camera for rock types and close-range mapping applications.

View Article: PubMed Central - PubMed

Affiliation: Department of Cartographic and Land Engineering, University of Salamanca, Polytechnic School of Avila, Avila, Spain.

ABSTRACT
Variation in the mineral composition of rocks results in a change of their spectral response capable of being studied by imaging spectroscopy. This paper proposes the use of a low-cost handy sensor, a calibrated visible-very near infrared (VIS-VNIR) multispectral camera for the recognition of different geological formations. The spectral data was recorded by a Tetracam Mini-MCA-6 camera mounted on a field-based platform covering six bands in the spectral range of 0.530-0.801 µm. Twelve sedimentary formations were selected in the Rhône-Alpes region (France) to analyse the discrimination potential of this camera for rock types and close-range mapping applications. After proper corrections and data processing, a supervised classification of the multispectral data was performed trying to distinguish four classes: limestones, marlstones, vegetation and shadows. After a maximum-likelihood classification, results confirmed that this camera can be efficiently exploited to map limestone-marlstone alternations in geological formations with this mineral composition.

No MeSH data available.


Related in: MedlinePlus

Tetracam Mini MCA-6 multispectral camera.
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pone.0132471.g003: Tetracam Mini MCA-6 multispectral camera.

Mentions: For the geological data acquisition the Tetracam Mini MCA-6 multispectral camera (Fig 3) and several complementary devices for supporting the data collection were used. The 6-bands multispectral camera is mounted on a special platform and fixed to an adapter swivel to allow getting stable shots during the data acquisition. This sensor consists of six bands covering the visible and very-near infrared range (0.530–0.801 μm) of the spectrum and collects the reflected solar radiation from each rock formation at 10-bits radiometric resolution. Each band is formed by a filter and a CMOS sensor (Complementary Metal-Oxide Semiconductor) providing each band its individual behaviour regarding the captured wavelength and the transmittance. The technical specifications of this sensor are shown in Table 1.


Discrimination between Sedimentary Rocks from Close-Range Visible and Very-Near-Infrared Images.

Del Pozo S, Lindenbergh R, Rodríguez-Gonzálvez P, Kees Blom J, González-Aguilera D - PLoS ONE (2015)

Tetracam Mini MCA-6 multispectral camera.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493113&req=5

pone.0132471.g003: Tetracam Mini MCA-6 multispectral camera.
Mentions: For the geological data acquisition the Tetracam Mini MCA-6 multispectral camera (Fig 3) and several complementary devices for supporting the data collection were used. The 6-bands multispectral camera is mounted on a special platform and fixed to an adapter swivel to allow getting stable shots during the data acquisition. This sensor consists of six bands covering the visible and very-near infrared range (0.530–0.801 μm) of the spectrum and collects the reflected solar radiation from each rock formation at 10-bits radiometric resolution. Each band is formed by a filter and a CMOS sensor (Complementary Metal-Oxide Semiconductor) providing each band its individual behaviour regarding the captured wavelength and the transmittance. The technical specifications of this sensor are shown in Table 1.

Bottom Line: This paper proposes the use of a low-cost handy sensor, a calibrated visible-very near infrared (VIS-VNIR) multispectral camera for the recognition of different geological formations.The spectral data was recorded by a Tetracam Mini-MCA-6 camera mounted on a field-based platform covering six bands in the spectral range of 0.530-0.801 µm.Twelve sedimentary formations were selected in the Rhône-Alpes region (France) to analyse the discrimination potential of this camera for rock types and close-range mapping applications.

View Article: PubMed Central - PubMed

Affiliation: Department of Cartographic and Land Engineering, University of Salamanca, Polytechnic School of Avila, Avila, Spain.

ABSTRACT
Variation in the mineral composition of rocks results in a change of their spectral response capable of being studied by imaging spectroscopy. This paper proposes the use of a low-cost handy sensor, a calibrated visible-very near infrared (VIS-VNIR) multispectral camera for the recognition of different geological formations. The spectral data was recorded by a Tetracam Mini-MCA-6 camera mounted on a field-based platform covering six bands in the spectral range of 0.530-0.801 µm. Twelve sedimentary formations were selected in the Rhône-Alpes region (France) to analyse the discrimination potential of this camera for rock types and close-range mapping applications. After proper corrections and data processing, a supervised classification of the multispectral data was performed trying to distinguish four classes: limestones, marlstones, vegetation and shadows. After a maximum-likelihood classification, results confirmed that this camera can be efficiently exploited to map limestone-marlstone alternations in geological formations with this mineral composition.

No MeSH data available.


Related in: MedlinePlus