TY - JOUR
T1 - Discrimination between sedimentary rocks from close-range visible and very-near-infrared images
AU - Pozo, Susana Del
AU - Lindenbergh, Roderik
AU - Rodríguez-Gonzálvez, Pablo
AU - Blom, Jan Kees
AU - González-Aguilera, Diego
PY - 2015/7/6
Y1 - 2015/7/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84940094661&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:204a8846-c943-4d77-9799-cc04884b5bf6
U2 - 10.1371/journal.pone.0132471
DO - 10.1371/journal.pone.0132471
M3 - Article
AN - SCOPUS:84940094661
SN - 1932-6203
VL - 10
JO - PLoS ONE
JF - PLoS ONE
IS - 7
M1 - e0132471
ER -