Abstract:
A method for multi-target detection and an apparatus for multi-target detection are capable of detecting at least two targets in real time or near real time. The real-time detection or near real time detection can be achieved by at least one of a Recipe Group Approach, an End Member Grouping Approach, and a Pixelated Grouping Based Approach.
Abstract:
In order to avoid friendly fire incidents in the combat theater, novel covert identification systems and methods of identifying friendly forces are provided. The systems include at least a spectroscopic imaging device and a marker that interact with each other by using a synchronized, predetermined filter tuning sequence. The filter tuning sequence enables interacted photons to wavelength hop according to the predetermined tuning sequence. As a result, the covert identification system allows friendly forces to clearly identify each while avoiding detection by enemy forces that employ conventional broadband and night vision sensors.
Abstract:
The present disclosure provides for a system and method for analyzing a sample comprising at least one unknown material. A first location may be scanned to generate a SWIR hyperspectral image. The SWIR hyperspectral image may be generated using dual polarization techniques. The SWIR hyperspectral image may be analyzed to target a second location comprising the unknown material. This second location may be further analyzed using Raman spectroscopic techniques and a Raman data set may be generated. The Raman data set may be further analyzed to associate the unknown material with a know material.
Abstract:
A portable system and method for analyzing biological tissue samples and detecting analytes associated with tissue oxygenation using a conformal filter. A conformal filter, which may comprise a tunable filter, is configured to filter interacted photons conforming to a spectral shape correlated with an analyte of interest. Conformal filter configurations may be selected by consulting a modified look-up table associated with an analyte. An iterative methodology may be used to calibrate a conformal design for an analyte of interest, refine a previous conformal filter design for an analyte of interest, and/or generate a new conformal filter design for an analyte of interest.