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Multispectral satellite imagery processing to recognize the archaeological features: The NW part of Mount Etna (Sicily, Italy)
Author(s) -
Mangiameli Michele,
Candiano Alessio,
Fargione Gabriele,
Gennaro Andrea,
Mussumeci Giuseppe
Publication year - 2019
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.5990
Subject(s) - multispectral image , raster graphics , satellite , remote sensing , preprocessor , mount , geology , digital elevation model , raster data , satellite imagery , archaeology , geography , computer science , artificial intelligence , engineering , aerospace engineering , operating system
We propose a new GIS‐based procedure to retrieve archaeological elements using satellite remote sensing. The processing of multispectral satellite images consists in a preprocessing phase using the pansharpening technique to improve the spatial quality and in the exploitation of linear equations of the initial spectral bands with the aim of generating accurate and precise raster data that can be used as input for an object classification. The proposed methodology has been tested in an archaeological area located on the north‐west flank of Etna volcano (Sicily, Italy).