bachelorThesis
Determinación del índice de electrificación mediante el procesamiento de imágenes satelitales para la zona rural del área de concesión de la Empresa Eléctrica Regional Centro Sur. C.A.
Fecha
2022-03-09Autor
Paredes Cajamarca, Héctor Bayron
Tamayo Saquicela, Anghela Nicole
Institución
Resumen
The importance of addressing the use of technological tools to solve problems facing society is
becoming more and more evident. Among these problems is the determination of the electrification
index, an indicator that allows measuring the level of access to electricity. In Ecuador, finding this
metric is limited to census applications that are expensive and require a large number of staff.
Thus, in the present work, Deep Learning was applied for the analysis of satellite images in the
ArcGIS Pro software. The objective is to extract the traces of the houses in 18 parishes of the
Cuenca canton as a representative sample of the rural concession area of the “Empresa Eléctrica
Regional Centro Sur” (Centrosur). For this, it is proposed to work with Convolutional Neural
Networks, using the Mask-RCNN model, obtaining results with an average precision of
approximately 94% and an F1 Score of 84%. Finally, the metric corresponding to the electrification
index is calculated and a comparison is made with the statistics provided by the “Instituto Nacional
de Estadística y Censos” (INEC).