Drift Correction of Lightweight Microbolometer Thermal Sensors On-Board Unmanned Aerial Vehicles
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Agüera Vega, Francisco; Carvajal Ramírez, Fernando; Martínez Carricondo, Patricio Jesús; García Ferrer, Alfonso; Mesas Carrascosa, Francisco Javier; [et al.]Fecha
2018Resumen
The development of lightweight sensors compatible with mini unmanned aerial vehicles
(UAVs) has expanded the agronomical applications of remote sensing. Of particular interest in this
paper are thermal sensors based on lightweight microbolometer technology. These are mainly used
to assess crop water stress with thermal images where an accuracy greater than 1 C is necessary.
However, these sensors lack precise temperature control, resulting in thermal drift during image
acquisition that requires correction. Currently, there are several strategies to manage thermal drift
effect. However, these strategies reduce useful flight time over crops due to the additional in-flight
calibration operations. This study presents a drift correction methodology for microbolometer
sensors based on redundant information from multiple overlapping images. An empirical study was
performed in an orchard of high-density hedgerow olive trees with flights at different times of the
day. Six mathematica...
Palabra/s clave
UAV
uncooled thermal sensor
precision agriculture
thermal orthomosaic