Identification of Road Networks Using Multi-Spectral and Panchromatic Digital Images. The Case Of The Branches Of The Camino Real De Tierra Adentro In San Juan Del Rio.
DOI:
https://doi.org/10.37646/xihmai.v9i18.243Keywords:
Maps, network road, multiespectral and panchomatic digital imagesAbstract
Classification methods for road extraction are based in the spectral characteristics of the images. However, actually, the digital processing allows the integration of the spectral characteristics with the spatial features when combining high resolution panchromatic images with medium resolution multispectral images. This processing is known as Pansharpening. The resulting image is classified to discriminate between roads and other objects, like cities, water bodies and crops, between others. The identified roads are then segmented and re-classified using the edge information to eliminate the features that do not correspond to roads.
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