Overview
ABSTRACT
Hyperspectral imaging or spectro-imaging is a remote measurement technique used to characterize the status and physical-chemical composition of objects from their optical spectral signatures. In this article, several basic concepts are recalled: spectral optical properties, radiative transfer in the Earth-atmosphere system, main classes of hyperspectral sensor, and pre-processing and processing to retrieve the variable characterizing an object. Two applications are then presented: vegetation characterization and urban classification. The article ends with conclusions and perspectives.
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Xavier BRIOTTET: Director of Research at ONERA DOTA ONERA Toulouse, France
INTRODUCTION
Hyperspectral imaging or spectro-imaging combines two remote sensing techniques: imaging and spectrometry. Imaging records the spatial distribution of an energy flux resulting from the reflection and/or thermal emission of a medium. Spectrometry measures variations in energy flux in the electromagnetic domain, depending on the chemical composition of the object under observation, plus surface temperature in the emissive domain. Spectro-imaging thus delivers a complex image of dimension 3, two dimensions of which represent spatial information and the third spectral information.
The richness of spectral information requires precise knowledge of the physical phenomena to be observed, and mastery of the means to be used to extract the desired characteristic.
The purpose of this article is to describe the basic concepts required to understand this technique:
spectral optical properties of observables ;
radiative transfer in the Earth-atmosphere system to understand the different radiative contributors to the measured signal;
main spectro-imaging and pre-processing techniques for converting digital counts recorded by the instrument into physical quantities;
methods for estimating optical properties.
The electromagnetic range considered covers the optical domain from UV (0.4 μm) to thermal infrared (12.0 μm).
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KEYWORDS
| reflectance | luminance
Visible and thermal infrared hyperspectral imaging
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