Newsletter:
May 2002/ Issue 2
Imaging Science Increases Treaty Verification Capabilities
Advances under the Imaging
Science and Technology Initiative (ISAT) at the Pacific
Northwest National Laboratory are increasing capabilities
in treaty verification and the promotion of regional
stability. On a local level, satellite and remote sensing
technologies are enhancing the ability of treaty members to
monitor for compliance, helping to build transparency
between nations, and lending credibility to multilateral
agreements. On the regional scale, imaging can be used to
characterize factors influencing stability such as
environmental changes and crop yields.
“ISAT focuses on the branch of
imaging called digital imaging processing,” says Doug Lemon,
ISAT director. “The challenge in digital imaging processing
can be seen by examining the imaging process. When a
satellite takes an image, it converts the reflected
electromagnetic energy into a series of intensity
measurements over a two-dimensional square grid or set of
pixels... (rendering) a “pixelized” set of measurements
derived from the real object. The challenge of the digital
imaging process is to extract from the pixel values the
characteristics of the underlying object, and then, to
determine the nature of class to which the object belongs.”
The
initiative began 18 months ago. Since then, “good progress
had been made in developing new algorithms for image
registration, feature extraction, and change detection,”
explains Lemon. Technologies exploit three sources of
information: spectral intensity, spatial characteristics, and
changes in the measurements over time. So through analyzing
information in a series of images, it is possible to estimate
an object’s shape, composition and detect changes.
There are presently two major
shifts in the initiative’s focus. The first shift entails
placing more effort on the integration of image processing
techniques in order to address specific challenges in remote
sensing, biology and materials characterization. The second
is a shift toward three- and four-dimension representations
of digital data, rather than the current flat or
two-dimensional representations.
“These high dimensionality images
will provide better insights into the composition of
materials on the ground, changes in the environment, or
man-made impacts such as the construction of new buildings,”
explains Lemon.
Another challenge, directly
relevant to global security is the difficulty in monitoring
large land areas. The quantity of data becomes difficult to
manage, making it overwhelming and limiting its use.
“One goal of ISAT is to develop
smart tools that can scan vast amounts of imagery and then
call attention to areas that should be reviewed by human
experts,” says Lemon. “In conjunction with this, we are
teaming with experts in high performance computing to develop
an image analysis architecture specifically created for high
speed processing of images… These efforts are expected to
enable new applications of remote sensing that were
previously too time consuming to be practical.”
The impact of these developments on
security efforts is that it will be possible to monitor more
and larger areas for compliance. Furthermore, this increased
monitoring capacity will make it easier to identify threats
to stability, such as conditions threatening fisheries, or
other important resources.
Other goals under the initiative
include increasing resolution and image quality, which would
facilitate the detection and extraction of features, and the
tracking of changes from image to image. Another is the
interlinking of software programs and integration of their
functions, making data much more manageable. Also, in
addition to multidimensional images, the ISAT team is
pursuing the development of capabilities that will enable
greater interaction between humans and data sets through the
use of holograms, and the ability to change or move data by
touch and with gestures.
“We have made some good progress,”
says Lemon when asked about the program’s success. “We have
also developed some innovative visualization techniques.”
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