PNNL-13501 - Pacific Northwest National Laboratory
PNNL-13501 - Pacific Northwest National Laboratory
PNNL-13501 - Pacific Northwest National Laboratory
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Figures 3 and 4 illustrate the impact of that uncertainty on<br />
modeled geometry. We observed severe distortion in the<br />
PhotoModeler and FotoG objects. A biased elevation<br />
distortion was evident in the FotoG site model that has<br />
objects either under (southwest end) or above (northeast<br />
end) the surface of what in actuality is a very flat dry lake<br />
bed. This feature, using a geometric primitive to<br />
constrain the photogrammetrically derived geometry, is<br />
the core of the hybrid geometry- and image-based sitemodeling<br />
approach described below.<br />
Figure 3. Partial three-dimensional model of the HAZMAT<br />
Spill Center constructed and photo-rendered with<br />
PhotoModeler Pro—although line/face continuity for<br />
constructing objects is easily maintained during on-screen<br />
construction, geometric distortion cannot be controlled.<br />
Model geometry can be exported to computer aided design.<br />
Figure 4. Partial three-dimensional model of the HAZMAT<br />
Spill Center constructed and rendered in AutoCAD from<br />
linked FotoG-FMS—geometry can be constructed only from<br />
points, single lines (not polylines), and cylinders, so<br />
construction of faces and objects must be done in AutoCAD<br />
after point/line/cylinder generation from the imagery.<br />
Geometry here again is distorted; the ground surface is<br />
effectively flat, so the features should “sit” on it, the trailer<br />
should be rectangular and square, etc. Rendering of this<br />
model with photographs must be done in a separate<br />
visualization program such as 3D Studio.<br />
Hybrid Geometry- and Image-Based System. Debevec<br />
(1996) and Debevec et al. (1996) described a hybrid<br />
geometry- and image-based approach to “creating realistic<br />
synthetic views of existing architectural scenes from a<br />
sparse set of still photographs.” This approach, similar in<br />
principle (but much more sophisticated) to that used by<br />
RapidScene for <strong>National</strong> Technical Means imagery,<br />
depends on fitting geometric primitives (rectangular<br />
planes, boxes, pyramids, etc.) to features in the<br />
photographs, and using knowledge of those shapes to<br />
assist in photogrammetric calculations and determining<br />
overall site geometry.<br />
Expansion of this approach to use genetically meaningful<br />
primitives representing weapons process components, and<br />
to allow creation in computer aided design of site features<br />
similar to the geometry-based approaches, would make it<br />
the system-of-choice for site-modeling applications. This<br />
object-based approach would provide a basis for<br />
hyperlinking (e.g., Feiner et al. 1995) with object-based<br />
site three-dimensional computer aided design templates<br />
and all other sources of information.<br />
Ground-Truth Sensor Development and Demonstration<br />
We developed and demonstrated an improved groundtruth<br />
chemical sensor, as well as the associated analysis<br />
software for determination of nuclear, biological,<br />
chemical-type weapons. To this end, a commercial<br />
Fourier-transform infrared spectroscopy was obtained and<br />
employed for proliferation determination using passive<br />
infrared sensing. We transported its spectrometer and<br />
ancillary detection equipment to the Nevada test site for<br />
data measurement and acquisition, and have subsequently<br />
analyzed the data via introduction of a graphical user<br />
interface software package for data reduction.<br />
The Owl 2000 campaign for remote detection of chemical<br />
signatures was carried out at the test range under the<br />
auspices of LLNL. The campaign consisted of<br />
monitoring a number of controlled releases from the<br />
HAZMAT Spill Center and test range stacks (see<br />
Figure 1) by several ground-sensing techniques as well as<br />
from two airborne platforms (General Dynamics H-57<br />
“Canberra” and DeHavilland DHC-6 “Twin Otter”<br />
aircraft). Our <strong>Laboratory</strong>’s chemical remote sensing<br />
system consisted primarily of a Midac model M2401-C<br />
emission interferometer; the Midac FTIR was equipped<br />
with ZnSe optics and a mercury-cadmium-telluride<br />
detector with spectral response to 16 µm in the long-wave<br />
infrared. The infrared data were augmented by<br />
meteorological data from the test site, as well as stack and<br />
background temperatures and estimated flow release rates<br />
for the release species under investigation.<br />
In addition to the measurement campaign, the software<br />
for chemical retrieval information has been under<br />
development and continues to undergo further refinement.<br />
Sensors and Electronics 395