The target classification algorithm community is making a special effort to explicitly treat operating conditions
(OCs) in classifier assessments and performance modeling. This is necessary because humans do not intuitively
appreciate what makes classification difficult for computers-it just seems so easy to us. In analyzing OCs, some
OCs are more direct or primitive while others are more abstract or integrating. These more abstract or "Derived
OCs" provide an intermediate step between direct OCs and classifier performance. Similar to the target, sensor,
environment partition of OCs, the AFRL COMPASE Center introduces the "Mossing 3" partition of derived OCs
into "Clarity," "Uniqueness," and "Conformity." Clarity is primarily concerned with the relevant information
content available in the sensor data. Uniqueness is about the inherent separability between the types of objects
to be classified (i.e., the library) and between all those types and objects not known to the classifier. Conformity
is about the relationship between the OCs of the test instances and the OCs represented in the library types
or training data. Furthermore, by analyzing derived OCs from multiple perspectives, informative subpartitions
of the Mossing 3 are created. Clarity measures are well developed, particularly as image quality metrics. The
other partitions are less well developed, but relevant work exists and is brought into context. While derived OCs
and the Mossing 3 partition are not a complete solution to performance modeling, they help bring in powerful
existing technologies and should enrich and facilitate dialogue on classifier performance theory and modeling.
The identification of a target from an electro-optical or thermal imaging sensor requires accurate sensor
registration, quality sensor data, and an exploitation algorithm. Combining the sensor data and exploitation,
we are concerned with developing an electro-optical or infrared (EO/IR) performance model. To combat the
registration issue, we need a detailed list of operating conditions (i.e. collection position) so that the sensor
exploitation results can be evaluated with sensitivities to these operating conditions or collection parameters.
The focus of this paper will build on the NVSED AQUIRE model2. We are also concerned with developing an
EO/IR model that affords comparable operating condition parameters to a synthetic aperture radar (SAR)
performance model. The choice of EO/IR modeling additions are focused on areas were Fusion Gain might
be realized through an experiment tradeoff between multiple EO/IR looks for ATR exploitation fusion. The
two additions to known EO/IR models discussed in the paper are (1) adjacency and (2) obscuration. The
methods to account for these new operating conditions and the corresponding results on the modeled
performance are presented in this paper.
Organic materials exhibiting strong two-photon absorption cross-sections and subsequent up-converted fluorescence have been targeted for use in a variety of applications including optical data storage, nondestructive imaging, frequency up-converted lasing, and microfabrication. In order for these materials to be useful in practical application they must either be coupled with a liquid solvent or doped into a solid host material. The purpose of this study is to examine effects of different host environments on the nonlinear photophysical properties of AF-455, a recently developed organic two-photon absorber. We present results of experiments using both emission and absorption methods to characterize the linear and nonlinear response of AF-455 dissolved in solvents of varying polarity and doped in a polymer (PMMA) matrix.