MARINE SCOUT is a compact, lightweight, Puma and other small UAS (SUAS) compatible, multi-spectral airborne sensor payload designed to sense and discriminate oil on water (e.g., maritime oil spills), and enable via post-processing the measurement of oil thickness in marine environments. The payload includes near-infrared (NIR), short-wavelength infrared (SWIR), and long-wavelength infrared (LWIR) sensor channels that enable the detection of oil and its byproducts, the rejection of vegetative clutter, and the discrimination of thick crude oils. The stabilized airborne payload hosting the sensors compensates aircraft roll, yaw, and forward motion – the latter using a novel, enabling forward motion compensation (FMC) technology. The airborne payload’s capabilities, combined with a ground station exploitation and human interface computer, support ocean mapping and scene interrogation, producing high-fidelity, mosaiced, geo-rectified, multi-spectral image stacks along with full motion video for use by oil spill responders.
A technique for fabricating novel infrared (IR) lenses can enable a reduction in the size and weight of IR
imaging optics through the use of layered glass structures. These structures can range from having a few thick
glass layers, mimicking cemented doublets and triplets, to having many thin glass layers approximating graded
index (GRIN) lenses. The effectiveness of these structures relies on having materials with diversity in refractive
index (large Δn) and dispersion and similar thermo-viscous behavior (common glass transition temperature, ΔTg
= 10°C). A library of 13 chalcogenide glasses with broad IR transmission (NIR through LWIR bands) was
developed to satisfy these criteria. The lens fabrication methodology, including glass design and synthesis,
sheet fabrication, preform making, lens molding and surface finishing are presented.
A multi-channel, agile, computationally enhanced camera based on the <i>PANOPTES</i> architecture is
presented. Details of camera operational concepts are outlined. Preliminary image acquisition results
and an example of super-resolution enhancement of captured data are given.