Real-time hyperspectral image processing for UAV applications, using HySpex Mjolnir-1024

Koirala, Pesal; Løke, Trond; Baarstad, Ivar; Fridman, Andrei; Hernandez, Julio

doi:10.1117/12.2267476

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…Finally, we suggest that good quality analysis and control (QAQC) procedures that can be applied while in the field to ensure sufficient data quality are needed. Some progress has been made on applying geometric corrections in real-time [46], but more needs to be done to make these solutions available, robust and field-ready. Appropriate field QAQC is essential for many geological studies, as field locations are often inaccessible and visiting multiple times is impractical or prohibitively expensive.…”

Section: Discussionmentioning

confidence: 99%

Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs

et al. 2021

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While uncrewed aerial vehicles are routinely used as platforms for hyperspectral sensors, their application is mostly confined to nadir imaging orientations. Oblique hyperspectral imaging has been impeded by the absence of robust registration and correction protocols, which are essential to extract accurate information. These corrections are especially important for detecting the typically small spectral features produced by minerals, and for infrared data acquired using pushbroom sensors. The complex movements of unstable platforms (such as UAVs) require rigorous geometric and radiometric corrections, especially in the rugged terrain often encountered for geological applications. In this contribution we propose a novel correction methodology, and associated toolbox, dedicated to the accurate production of hyperspectral data acquired by UAVs, without any restriction concerning view angles or target geometry. We make these codes freely available to the community, and thus hope to trigger an increasing usage of hyperspectral data in Earth sciences, and demonstrate them with the production of, to our knowledge, the first fully corrected oblique SWIR drone-survey. This covers a vertical cliff in the Dolomites (Italy), and allowed us to distinguish distinct calcitic and dolomitic carbonate units, map the qualitative abundance of clay/mica minerals, and thus characterise seismic scale facies architecture.

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Section: Discussionmentioning

confidence: 99%

Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs

et al. 2021

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“…This type of device is needed because previous airborne missions have been cost prohibitive and continuous full-spectrum sensors have only recently overcome payload limitations for heavy unmanned platforms. 9,10 Deployment of the SOLAS could support remote characterization of rocks, minerals, soils, or vegetation on inaccessible slopes or outcroppings for economic geology, earthworks, or agriculture and forestry research applications. The SOLAS could also provide a means for ground truthing data collected from current and future multispectral and hyperspectral missions.…”

Section: Introductionmentioning

confidence: 99%

Validation of a ground-based telescope-assisted hyperspectral remote sensor for soil measurements

Salazar

Coffman

2020

J. Appl. Rem. Sens.

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The utility of the ground-based soil observation laser absorption spectrometer (SOLAS) was demonstrated through spectral reflectance measurements of five soil types during laboratory-and field-based collection. The SOLAS telescope-assisted measurements were compared with proximal measurements. The spectra that were acquired at an intermediate range of 40 meters compared well with the spectra that were acquired proximally. Specimen type, rangedependent spatial resolution, and environmental conditions are discussed. The signal-to-noise ratio (SNR) was assessed and is presented as a function of wavelength for the spectral range of the receiver for each measurement condition. The proximal measurements performed outdoors under solar illumination had the greatest SNR, while the remote measurements performed indoors under artificial illumination had the lowest SNR. For the outdoor measurements, loss of signal was observed around the 1400-and 1900-nm bands due to long-path atmospheric water vapor absorption. The discussed future improvements to the SOLAS remote sensor will enable measurements of reflectance over longer ranges. Envisioned applications include remote characterization of surface materials for large construction projects (e.g., surface mines and tailings) for geohazard investigations, or for ground truthing of current and future multispectral and hyperspectral satellite data. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…Although, miniaturized hyperspectral sensors have increased in the market (Honkavaara et al, 2013;Suomalainen et al, 2014;Oliveira et al, 2016), only few works have used multi/hyperspectral sensors in real-time remote sensing processing drone application (Koirala et al, 2017). Hyperspectral 2D-frame cameras can be collect registered, such as the Cubert UHD Firefly snapshot hyperspectral camera (Cubert, 2018) or unregistered bands, such as the Rikola Hyperspectral Camera, based on tuneable Fabry-Pérot Interferometer (FPI) (SENOP, 2018).…”

Section: Introductionmentioning

confidence: 99%

Real-Time and Post-Processed Georeferencing for Hyperpspectral Drone Remote Sensing

Oliveira

Khoramshahi

Suomalainen

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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The use of drones and photogrammetric technologies are increasing rapidly in different applications. Currently, drone processing workflow is in most cases based on sequential image acquisition and post-processing, but there are great interests towards real-time solutions. Fast and reliable real-time drone data processing can benefit, for instance, environmental monitoring tasks in precision agriculture and in forest. Recent developments in miniaturized and low-cost inertial measurement systems and GNSS sensors, and Real-time kinematic (RTK) position data are offering new perspectives for the comprehensive remote sensing applications. The combination of these sensors and light-weight and low-cost multi- or hyperspectral frame sensors in drones provides the opportunity of creating near real-time or real-time remote sensing data of target object. We have developed a system with direct georeferencing onboard drone to be used combined with hyperspectral frame cameras in real-time remote sensing applications. The objective of this study is to evaluate the real-time georeferencing comparing with post-processing solutions. Experimental data sets were captured in agricultural and forested test sites using the system. The accuracy of onboard georeferencing data were better than 0.5&thinsp;m. The results showed that the real-time remote sensing is promising and feasible in both test sites.

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Real-time hyperspectral image processing for UAV applications, using HySpex Mjolnir-1024

Cited by 8 publications

References 5 publications

Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs

Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs

Validation of a ground-based telescope-assisted hyperspectral remote sensor for soil measurements

Real-Time and Post-Processed Georeferencing for Hyperpspectral Drone Remote Sensing

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