Abstract
Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical laboratory. The software also corrects an aberration which we call tilt. The tilt is specific for the particular imager design used, but correcting it may be beneficial for other similar devices. The tilt and spectral smile were reduced to zero in terms of used metrics. The software artifact is available as an open-source Github repository. We also present improved casing for the imager design, and, for those readers interested in building their own HSI, we provide print-ready and modifiable versions of the 3D-models required in manufacturing the imager. To our best knowledge, solving the spectral smile correction problem without an optical laboratory has not been previously reported. This study re-solved the problem with simpler and cheaper tools than those commonly utilized. We hope that this study will promote easier access to hyperspectral imaging for all audiences regardless of their financial status and availability of an optical laboratory.
Highlights
Hyperspectral imaging based on unmanned aerial vehicles (UAVs), especially drones, has gain a lot of attention in recent years, for example, in precision agriculture [1,2] and precision forestry [3,4,5,6]
One may notice that the error estimate values, the standard deviation of the mean, of the corrected frames are greater than the actual values, which implies that the correction reduces the aberrations to zero in terms of the used metrics
We showed that spectral smile aberration of the push-broom hyperspectral imager presented by Sigernes et al [9] can be corrected without using an optical laboratory
Summary
Hyperspectral imaging based on unmanned aerial vehicles (UAVs), especially drones, has gain a lot of attention in recent years, for example, in precision agriculture [1,2] and precision forestry [3,4,5,6]. Compared to more traditional aircraft- and spacecraft-based operations, drones offer ease of operation, cost-efficiency, and small ground-pixel size. Drone-based imaging is possible even in cloudy weather [2]. Commercial hyperspectral imagers (HSIs) are expensive, which restricts their usage for low-budget operators, such as individual researchers or landowners, as even the cheapest HSIs cost tens of thousands of euros [7,8]. Commercial HSIs are heavy and bulky, which introduces additional requirements for drones utilized in UAV campaigns [8]. Several cheap HSIs have been introduced in the literature: some are made lightweight for UAV operations [8,9], while others target laboratory usage [7].
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