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Aligned Radiometric RGB-Thermal Fusion for UAV Facade Anomaly Screening

arXiv · AI, language, vision and robotics · article · Sep 11, 2026 · UTC

Unmanned aerial vehicle facade inspection can combine red, green, and blue (RGB) imagery with thermal measurements to screen surface and subsurface anomalies. However, geometric discrepancies between the sensors and thermal image rendering can obscure spatial correspondence and weak temperature contrasts. This article presents a sensor-level pipeline comprising per-sensor correction, RGB-to-thermal registration, common-support cropping, and signed local contrast encoding of 16-bit radiometric measurements. The encoding preserves the distinction between locally hotter and colder regions and sup

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First collected: 2026-09-20T18:22:04.777Z. This is not the publication date.