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Estudio Exploratorio sobre Resolución de Imágenes, Parámetros Operacionales e Incertidumbre de Medición en Inspección

Suk Bae Lee¹, Dong Ha Lee², Jisung Kim³

¹Department of Civil & Infrastructure Engineering, College of Construction and Environmental Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea.

Sensors (Basel, Switzerland)

|February 13, 2026

Resumen

Las inspecciones de fisuras con vehículos aéreos no tripulados (UAV) enfrentan límites de eficiencia debido a las compensaciones de resolución. Este estudio revela una incertidumbre significativa a nivel de píxel para fisuras delgadas, lo que afecta la interpretación precisa y la planificación de la inspección.

Área de la Ciencia:

Ingeniería Civil
Tecnología Geoespacial
Monitoreo de Salud Estructural

Sus antecedentes:

Los vehículos aéreos no tripulados (UAV) son vitales para la inspección de infraestructuras civiles.
La interpretación de fisuras a partir de imágenes de drones presenta desafíos para equilibrar la resolución, la eficiencia y la precisión.
La imagen de mayor resolución a menudo conduce a un mayor procesamiento de datos y una menor eficiencia operativa.

Objetivo del estudio:

Realizar un análisis orientado a la medición de la inspección de fisuras basada en drones.
Explorar las relaciones entre los parámetros de vuelo, la adquisición de imágenes y el esfuerzo de procesamiento.
Investigar la incertidumbre a nivel de píxel en la representación del espesor de las fisuras cerca del límite de resolución.

Principales métodos:

Se realizaron experimentos empíricos de vuelo con drones en condiciones controladas.
Se examinaron las relaciones entre la distancia de vuelo, la distancia de muestreo en tierra (GSD), la cantidad de imágenes y el esfuerzo de procesamiento.
Un análisis de segmentación basado en datos evaluó la incertidumbre a nivel de píxel para la representación de fisuras.

Principales resultados:

La distancia de vuelo y la GSD exhiben correlaciones geométricas esperadas.
La cantidad de imágenes y el esfuerzo de procesamiento están influenciados por factores complejos e interactivos más allá de la simple resolución.
Las fisuras delgadas, representadas por pocos píxeles, muestran una considerable incertidumbre de segmentación.

Conclusiones:

La inspección de fisuras basada en drones requiere una cuidadosa consideración de la incertidumbre de medición y las compensaciones operacionales.
Existen limitaciones intrínsecas en la interpretación de fisuras basada en imágenes, particularmente para características de fisuras finas.
La optimización de las estrategias de inspección con drones requiere la comprensión de estas incertidumbres dependientes de la resolución.

Palabras clave:

GSD inspección con drones detección de fisuras eficiencia de vuelo

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