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Open AccessArticle

A Simulation Environment for Validation and Verification of Real Time Hyperspectral Processing Algorithms on-Board a UAV

Institute for Applied Microelectronics (IUMA), University of Las Palmas de GC (ULPGC), 35017 Las Palmas de GC, Spain
Creanex Oy, 33540 Tampere, Finland
R&D Projects Department, TTTech Computertechnik AG, 1040 Vienna, Austria
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(16), 1852;
Received: 5 July 2019 / Revised: 31 July 2019 / Accepted: 6 August 2019 / Published: 9 August 2019
(This article belongs to the Special Issue Real-Time Processing of Remotely-Sensed Imaging Data)
The utilization of hyperspectral imaging sensors has gained a significant relevance among many different applications due to their capability for collecting a huge amount of information across the electromagnetic spectrum. These sensors have been traditionally mounted on-board satellites and airplanes in order to extract information from the Earth’s surface. Fortunately, the progressive miniaturization of these sensors during the last lustrum has enabled their use in other remote sensing platforms, such as drones equipped with hyperspectral cameras which bring advantages in terms of higher spatial resolution of the acquired images, more flexible revisit times and lower cost of the flight campaigns. However, when these drones are autonomously flying and taking real-time critical decisions from the information contained in the captured images, it is crucial that the whole process takes place in a safe and predictable manner. In order to deal with this problem, a simulation environment is presented in this work to analyze the virtual behavior of a drone equipped with a pushbroom hyperspectral camera used for assisting harvesting applications, which enables an exhaustive and realistic validation and verification of the drone real-time hyperspectral imaging system prior to its launch. To the best of the authors’ knowledge, the proposed environment represents the only solution in the state-of-the-art that allows the virtual verification of real-time hyperspectral image processing algorithms under realistic conditions. View Full-Text
Keywords: simulation environment; hyperspectral imagery; UAV; anomaly detection simulation environment; hyperspectral imagery; UAV; anomaly detection
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MDPI and ACS Style

Horstrand, P.; López, J.F.; López, S.; Leppälampi, T.; Pusenius, M.; Rooker, M. A Simulation Environment for Validation and Verification of Real Time Hyperspectral Processing Algorithms on-Board a UAV. Remote Sens. 2019, 11, 1852.

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