Abstract
Abstract. Multispectral imaging is a widely used remote sensing technique, whose applications range from agriculture to environmental monitoring, from food quality check to cultural heritage diagnostic. A variety of multispectral imaging sensors are available on the market, many of them designed to be mounted on different platform, especially small drones. This work focuses on the geometric and radiometric characterization of a brand-new, lightweight, low-cost multispectral camera, called MAIA. The MAIA camera is equipped with nine sensors, allowing for the acquisition of images in the visible and near infrared parts of the electromagnetic spectrum. Two versions are available, characterised by different set of band-pass filters, inspired by the sensors mounted on the WorlView-2 and Sentinel2 satellites, respectively. The camera details and the developed procedures for the geometric calibrations and radiometric correction are presented in the paper.
Highlights
Multispectral imaging is a branch of remote sensing which entails the acquisition of images in specific wavelengths, in the visible part of the electromagnetic spectrum, but encompassing a wide range of spectral bands, from violet to infrared
A variety of multispectral imaging sensors are available on the market, many of them designed to be mounted on different platform, especially small drones
The eight band-pass filters installed in the MAIA camera have the same central and width band of sensors mounted on the WorlView-2 (DigitalGlobe, 2009), while the nine bandpass filters installed in MAIA/S2 camera have the same central and width band of sensors mounted on Sentinel2 (ESA, 2012)
Summary
Multispectral imaging is a branch of remote sensing which entails the acquisition of images in specific wavelengths, in the visible part of the electromagnetic spectrum, but encompassing a wide range of spectral bands, from violet to infrared. This technology exploits the properties of different materials and objects in reflecting, scattering, absorbing and emitting electromagnetic radiation in a characteristic way, defined as spectral signature or spectrum (Shaw and Burke, 2003). The radiometric adjustment methods are described, and the main outcomes and future opportunities are provided in the conclusions.
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