Abstract

Abstract. One common tool in Cultural Heritage inspections is thermal cameras, which are sensitive to the infrared part of the electromagnetic spectrum. But the resolution of these sensors is quite lower than other kinds like visible spectrum range cameras. Typically, the sensors in thermal cameras do not exceed the megapixel frontier. This limitation becomes a problem when trying to combine the information from the thermal images with data from other sensors with much higher resolution such as visible RGB cameras in the same project.In Remote Sensing, algorithms have been designed to fuse multispectral images with panchromatic images (in origin from satellite platforms) to enhance the resolution of lower resolution images with higher resolution ones. These processes are known as pansharpening. Although pansharpening procedures are widely known, they have not been tested working with thermal imaging. The first approach of merging thermal and visual spectrum images to enhance the resolution of the original thermal image involved applying the intensity-hue-saturation (IHS) algorithm (Lagüela et al., 2012, Kuenzer and Dech, 2013). These works only studied one particular algorithm and they did not include any quality study of the results.Our work contains a complete review of a bigger pansharpening algorithms’ set and provides an in-depth study of thermal imaging pansharpening, with a numerical assessment. Our research allows the use of thermal sensors with a lower resolution than other types of sensors used simultaneously in the same project.

Highlights

  • Thermal cameras, with sensors sensitive to the long-wave infrared part of the electromagnetic spectrum, are becoming commonly used tools in inspection, and, for extension, in Cultural Heritage documentation works

  • The RGB visible spectrum camera image was expressed in grayscale giving the panchromatic image (PAN)

  • 2, 3 and 4 we show the values of the indices for each dataset

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Summary

Introduction

Thermal cameras, with sensors sensitive to the long-wave infrared part of the electromagnetic spectrum (wavelengths from 9 to 14 micrometers), are becoming commonly used tools in inspection, and, for extension, in Cultural Heritage documentation works. Unlike other types of sensors, such as visible spectrum cameras, the resolution of thermal sensors has barely increased in recent years. The most commonly used thermal imaging cameras are based on uncooled sensors operating at room temperature called microbolometers. These microbolometers receive radiation, absorbing it and heating up, varying their electrical resistance. It can be stated that the resolution of thermal sensors, at least with this technology, will not equal that of other sensors in the short and medium term

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