Award Data

To maximize the utility of spectral imagery sensors it is essential that processing techniques for data from these sensors are highly automated, provide high probability of target detection with low false alarm rates, and offer a reliable confidence assessment capability. The detection and false alarm probabilities required for a hyperspectral sensor to be a useful intelligence asset varies based ...

The goal of this Phase I SBIR is to define a set of algorithms that will detect and characterize static man-made objects highly obscured by foliage within multi-view, multi-channel optical data collected passively from UAVs or other aerial platforms. The proposed algorithm stream will be constructed so as to comprehend and mitigate real-world interfering effects such as clouds, smoke and haze. Dur ...

Tomographic SAR is a data collection and processing technology that produces true 3-D volumetric imagery. This approach offers significant benefits for enhanced imagery through clutter rejection, enhanced target definition, and better resolution. Tomographic SAR has been demonstrated at UHF frequencies where it has shown benefits in concealed target detection, improved feature extraction and cha ...

The development of tomographic SAR imaging is arguably the next big step in the evolution of imaging radar systems. The value of a successful volumetric imaging system to the US Government is clear. While successful demonstrations of volumetric imaging capabilities from various radar platforms have been made recently, there remains significant issues regarding data acquisition, signal processing ...