Atmospheric correction of hyperspectral data for aerospace remote
sensing of agricultural systems
A. A.
Nikolenko
Moscow
Institute of Physics and Technology
The paper is
received on June 23, 2015
Abstract.
This article presents one approach to
atmospheric correction of hyperspectral aerospace remote sensing data, which is
based on the integrated use of additional data obtained with different instruments
for field measurements. The results of measuring performed by the
spectroradiometer, sun photometer, etc. are considered as additional data. It
is advisable to use the data of the AERONET radiometer network. Additionally, the
availability of information about the navigational reference of hyperspectral
images, as well as access to images obtained using different video equipment is
especially very useful when addressing targets.
The approach, offered in the article, is tested on the
example of the atmospheric correction of hyperspectral images of the landfill
site of Dokuchaev Soil Science Institute in the Tula region. Aviation
hyperspectrometer produced by JSC "NPO "Lepton" was used during
the experimental work. Ground-based measurements obtained by spectroradiometer
ASD FieldSpec(R)3 and by sun photometer MICROTOPS(R)II were selected as a
source of information for aggregation. It is revealed that measurements of the
sun photometer are mostly useful for the atmospheric correction. Such principal atmospheric parameters as
meteorological visibility range and precipitable water vapour are obtained from
these
measurements.
It is shown that the best results were achieved in the absorption
bands of water and in the blue region of the spectrum.
Keywords:
hyperspectrometer, spectroradiometer, sun
photometer, network AERONET, atmospheric correction, thematic hyperspectral
image processing, agricultural systems.