NOTE:
This page is currently being revised. (May 2005). The information
on this page is therefore not fully up-to-date.
ASI
The NEO Airborne Spectral Imager (ASI) is a system built
around a hyperspectral camera for use in aeroplanes.
GPS and gyro data as well as two dimensional images are available for
use during geometric correction of the data.
Basic Principle of Operation
Like similar instruments in satellites, an airborne imager
scans the ground line by line. The field of view is therefore
a line and the imager or camera make consecutive exposures of
this line while the aeroplane moves relatively to the ground.
The figure below shows the basic principles of ASI.
The imager or camera system has a field of view that resembles
a fan shape i.e., the camera will depict one line at the ground.
By making multiple exposures while the aeroplane moves relatively
to the ground the imager acquires a contnuous image of the ground.
The spectrometer part splits the light from each image line
into different colors or spectral channels. For each color or
spectral channel a continuous image will be stored.
There are 320 (or 160 optionally) spectral channels in the visible
and near infra
read range (VNIR) and 256 spectral channels in the short wave
infra red (SWIR). This gives a lot of data!
The Aeroplane
A Cessna 172 has been used for the ASI measurements. Some clips from
the ASI missions are shown below.
This is the Cessna that has been used for all missions.
Left: ready for action. Right, top: Gyro check before take off.
Right, middle: checking the
field of view. Right, bottom: Check List All OK.
ASI Image Results
Below are some image results from the NEO Airborne Spectral Imager.
Due to turbulence and other plane movements the scanned images might
be somewhat distorted. The plane, however, is equipped with
gyros and GPS and therefore a rectification of the images is
possible.
The image above shows ASI images before rectification.
Probably not easy to play football (soccer) there.
Same image rectified.
Small village. To the left a normal RGB image and
to the right an image where the vegetation has been classified
using tools in ENVI. The vegetation is yellow.