Identificación De Redes De Caminos Utilizando Imágenes Digitales Multi-Espectrales Y Pancromáticas. El Caso De Los Ramales Del Camino Real De Tierra Adentro En San Juan Del Río
DOI:
https://doi.org/10.37646/xihmai.v9i18.243Abstract
Resumen
Los métodos de clasificación para la identificación de caminos usando imágenes de satélite de alta resolución se basan en las características espectrales de estas; sin embargo, en la actualidad, el procesamiento digital permite integrar las características espectrales con las características espaciales al fusionar imágenes pancromáticas de alta resolución con imágenes multiespectrales de resolución media. Este procesamiento toma el nombre de Pansharpening. Posteriormente, la imagen producto de la fusión es procesada utilizando algoritmos de clasificación para discriminar los caminos o trazos lineales de otros objetos como pueden ser ciudades, parcelas, cuerpos de agua, etc. Los caminos clasificados pueden ser subsecuentemente re-clasificados utilizando la información de los bordes para eliminar objetos que no corresponden a caminos.
Palabras clave: Mapas, redes de caminos, imágenes digitales multiespectrales, pancromáticas
Abstract
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.
Keywords: Maps, Road network, Multispectral and Panchromatic Digital Images
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Copyright (c) 2014 Fernando López Aguilar, Pedro López García
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