Several approaches exist to support the orientation measurement by using optical information received through the main objective/telescope. In such cases it is essential to measure them with high accuracy to ensure a good quality of the resulting imagery products. Finally, the diffractive filters can be easily manufactured using optical lithography and replication techniques.ĭetermining fast orientation changes of multi-spectral line cameras from the primary imagesįast orientation changes of airborne and spaceborne line cameras cannot always be avoided. Because no absorptive color filters are utilized, sensitivity is preserved as well. We also demonstrate Vis-IR imaging with the same sensor. We further show that the spatial resolution is enhanced by over 30% compared with the case without the diffractive filter. We experimentally demonstrated spectral resolution of 9.6Â nm within the visible band (430-718Â nm).
#Multispec 4c resolution code
Following a calibration step, this code can be inverted via regularization-based linear algebra to compute the multispectral image. The diffractive filter converts spectral information to a spatial code on the sensor pixels. Here, we demonstrate a compact single-shot multispectral video-imaging camera by placing a micro-structured diffractive filter in close proximity to the image sensor. Multispectral imagers reveal information unperceivable to humans and conventional cameras. The imaging sensor of consumer-grade cameras are based on a Bayer patter.Ĭomputational multispectral video imaging. The camera details and the developed procedures for the geometric calibrations and radiometric correction are presented in the paper.Īirborne multispectral identification of individual cotton plants using consumer-grade camerasĪlthough multispectral remote sensing using consumer-grade cameras has successfully identified fields of small cotton plants, improvements to detection sensitivity are needed to identify individual or small clusters of plants.
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 MAIA camera is equipped with nine sensors, allowing for the acquisition of images in the visible and near infrared parts of the electromagnetic spectrum. This work focuses on the geometric and radiometric characterization of a brand-new, lightweight, low-cost multispectral camera, called MAIA. A variety of multispectral imaging sensors are available on the market, many of them designed to be mounted on different platform, especially small drones. 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. Geometric Calibration and Radiometric Correction of the Maia Multispectral Camera
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