Research currently underway at Georgia Tech focuses on various sensor modalities for detecting covert personnel. One component of that research examines visible band signatures as a means of detection. In particular, concepts centered on non-imaging and low pixel count sensors have been investigated. This paper presents results from that study with particular emphasis on non-imaging spectral sensor concepts. Results from analysis, modeling, and measurements will be presented. Additional concepts for low pixel count sensors will also be presented. Environmental effects including local lighting conditions have been incorporated into the analyses to derive sensor requirements.
In this paper we present results from our research on the impact of various soil types and processes on LWIR broadbandand hyperspectral signatures of landmines and the surrounding soil. These analyses utilized our digital hyperspectral models of the combined landmine-soil system for the computation of these signatures. These physics-based models incorporate models for external environmental processes and allow soil thermal parameters to be set as a function of the subsurface conditions (i.e., porosity, moisture content). Under this research effort, signature computations were conducted for various soil types as a function of the underlying soil conditions in order to examine the relative impact of these conditions on both the broadband and spectral LWIR signatures. Of particular interest were changes in spectral features and contrast changes due to soil water content. Results from the digital signature computations will be presented along with an analysis of the signature features. A comparison of the digital signature calculations to measured data will be included in this discussion. A brief description of the signature model will also be presented.