Abstract
Abstract. Hyperspectral camera operating in sequential acquisition mode produces spectral bands that are not recorded at the same instant, thus having different exterior orientation parameters (EOPs) for each band. The study presents experiments on bundle adjustment with time-dependent polynomial models for band orientation of hyperspectral cubes sequentially collected. The technique was applied to a Rikola camera model. The purpose was to investigate the behaviour of the estimated polynomial parameters and the feasibility of using a minimum of bands to estimate EOPs. Simulated and real data were produced for the analysis of parameters and accuracy in ground points. The tests considered conventional bundle adjustment and the polynomial models. The results showed that 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 of each band. The accuracy of the block adjustment was analysed based on the discrepancy obtained from checkpoints. The root mean square error (RMSE) indicated an accuracy of 1 GSD in planimetry and 1.5 GSD in altimetry, when using a minimum of four bands per cube.
Highlights
There is a growing interest in the use of high resolution remote sensing using hyperspectral frame cameras, which have been developed recently
Because determination of exterior orientation parameters (EOPs) for each band is labour intensive and time consuming task, this study investigated a time-dependent technique for simultaneous image orientation including all bands of a hypercube
The purpose was to verify a minimum number of spectral bands to estimate polynomial models that could replace the need for a bundle adjustment (BA) including all bands
Summary
There is a growing interest in the use of high resolution remote sensing using hyperspectral frame cameras, which have been developed recently. The Rikola camera model (by Senop Ltd.) is a type of these hyperspectral framing sensors currently available, which can be carried by UAV platforms for remote sensing applications. Each image cube is composed of a set of spectral bands that are defined by the air gap values of the FPI, which covers the spectral range from 500 to 900 nm with two sensors. Another technical feature of the FPI camera is that the spectral bands are not recorded at the same instant. Due to the sequential acquisition, the individual bands in each cube have different exterior orientation parameters (EOPs), when collecting images from a moving platform
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