Abstract

This paper gives an overview of the new COmpact hyperSpectral Imaging (COSI) system recently developed at the Flemish Institute for Technological Research (VITO, Belgium) and suitable for remotely piloted aircraft systems. A hyperspectral dataset captured from a multirotor platform over a strawberry field is presented and explored in order to assess spectral bands co-registration quality. Thanks to application of line based interference filters deposited directly on the detector wafer the COSI camera is compact and lightweight (total mass of 500g), and captures 72 narrow (FWHM: 5nm to 10 nm) bands in the spectral range of 600-900 nm. Covering the region of red edge (680 nm to 730 nm) allows for deriving plant chlorophyll content, biomass and hydric status indicators, making the camera suitable for agriculture purposes. Additionally to the orthorectified hypercube digital terrain model can be derived enabling various analyses requiring object height, e.g. plant height in vegetation growth monitoring. Geometric data quality assessment proves that the COSI camera and the dedicated data processing chain are capable to deliver very high resolution data (centimetre level) where spectral information can be correctly derived. Obtained results are comparable or better than results reported in similar studies for an alternative system based on the Fabry–Pérot interferometer.

Highlights

  • New technological concepts and device miniaturization enabled developments of hyperspectral systems suitable for the unstable small Remotely Piloted Aircraft Systems (RPAS)

  • The scope of this paper is to present hyperspectral data acquired with the COmpact hyperSpectral Imaging (COSI) camera over an experimental strawberry field, and to report first estimates of the geometric data reconstruction quality

  • In imagers based on Fabry–Pérot interferometer successive spectral bands are captured, with a time delay, from a moving RPAS platform and so a point on the ground is viewed from varying angles during spectral bands acquisition

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Summary

INTRODUCTION

New technological concepts and device miniaturization enabled developments of hyperspectral systems suitable for the unstable small Remotely Piloted Aircraft Systems (RPAS). For every ground location all spectral bands are simultaneously recorded and a scanning motion is required to cover the area of interest Such devices are available for RPAS and have already been flown on fixed- and rotary-wing platforms (Buettner and Roeser, 2013; Lucieer and Veness, 2014; Suomalainen et al, 2014). The Rikola camera captures hyperspectral bands at full sensor resolution but at different times and band co-registration is required to build the data hypercube (Saari et al, 2011). Another example of a hyperspectral frame camera is the COmpact hyperSpectral Imaging system (COSI, Figure 1). Auxiliary data, such as geolocation of the images or ground control points (GCPs) are not required, their

IMAGING USING LINEARLY VARIABLE FILTERS
STUDY CASE
Dataset characteristics
Estimation of band co-registration quality
Estimation of band co-registration quality using SIFT
DISCUSSION
CONCLUSIONS
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