Abstract
Abstract. A study on orientation of hyperspectral band cubes acquired with frame camera is presented in this paper. The camera technology is based on a tuneable Fabry-Perot Interferometer (FPI) and captures cubes of images sequentially using two sensors. However, the bands are not recorded at the same instant, which results different exterior orientation parameters (EOPs) for each image band. A technique based on polynomial model is assessed, which determines the EOPs within the hypercube from few sample bands, since a large number of bands are generated. Experiments were performed to assess the feasibility of using the polynomial technique. An analysis of the UAV trajectory was performed and the results of the polynomial technique were compared with those obtained by a conventional bundle adjustment. The trials showed that the results of both techniques were comparable, indicating that the time-dependent polynomial model can be used to estimate the EOPs of all spectral bands, without requiring a bundle adjustment including all bands. The accuracy of the block adjustment was analysed based on the discrepancies obtained from independent checkpoints. The root mean square error (RMSE) was calculated and showed an accuracy of approximately 1 GSD in planimetry and 1.5 GSD in altimetry. This accurate result is important because the proposed technique can significantly reduce the processing workload.
Highlights
This paper presents an experimental assessment on the orientation of a hyperspectral sensor based on the time-sequential acquisition principle
For comparison with the polynomial technique, the image orientation was performed by conventional bundle adjustment with 4 and 25 bands
This study presented experiments on the exterior orientation parameters (EOPs) estimation using polynomial models applied to a hyperspectral frame camera with time-sequential acquisition
Summary
This paper presents an experimental assessment on the orientation of a hyperspectral sensor based on the time-sequential acquisition principle. As advantages, monitoring tasks and more detailed studies can be performed due to the high spatial, spectral and temporal resolutions In this type of sensor that uses sequential image acquisition, a problem to be solved is a more efficient technique for determination of the exterior orientation parameters (EOPs). When image acquisitions are made in mobile applications, each spectral band has different EOPs due to platform movement, that is, the acquisition results in a non-registered band sequence in the hypercube, following the platform movement Another important feature of this camera is the use of two sensors. Control points would be needed to be measured on a large number of spectral bands, which would be an exhaustive task Previous works with this technique were done with simulations considering a single sensor (Berveglieri et al, 2017). Experiments with real data were performed to evaluate the proposed technique and will be presented
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