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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

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