This article describes an airborne digital video imaging system (ADVIS
) and presents multispectral imagery to illustrate its potential use a
s a remote sensing research tool. The system was primarily designed to
acquire multiband images for ascertaining spectral bands and/or band
combinations to better characterize and assess natural resources. The
ADVIS is comprised of 12 charge coupled device (CCD) analog video came
ras and a computer equipped with a single multichannel digitizing boar
d. The system cameras are equipped with various narrowband (6.5-12.6 n
m bandwidths) interference filters to acquire images within the visibl
e/near-infrared (NIR) (400-1000 nm) spectral waveband. The ADVIS multi
channel capturing board is capable of obtaining 12 analog video inputs
that are readily converted into digital images having 640 by 480 pixe
ls resolution. The digitizing board has four RGB bunks which have the
capability of generating four synchronized real-time false color compo
site images from any selectable three-band combination among the 12 ca
meras, as keyed by the RGB inputs of the digitizing board. The compute
r system has a two GB storage capacity hard dl-iue that can store 2000
RGB 24-bit color images. The system is unique because the quad real-t
ime color composite imagery It provides is of adequate quality for ass
essing scenes of interest and there is no need for post-processing ban
d registration immediately after the flight mission in order to evalua
te the imagery. Also, the display of the quad images readily depicts w
hich composite image(s) provides better differences among land-use cov
er types in the scene. This imagery, however, needs to be registered f
or image processing and analysis. The display of the black-and-white (
B&W) image components (spectral bands) of the composite images provide
basic information to assist in the interpretation of the color compos
ites and to qualitatively understand the interaction of ecological par
ameters with the electromagnetic spectrum. The ADVIS multispectral ima
ge acquisition may determine the best band(s) for characterizing and/o
r detecting problems of the various natural resources. (C) Elsevier Sc
ience Inc., 1998.