Award Data

To address the CBD’s need for real-time analytical technology for multicomponent vapor identification and quantification, Physical Optics Corporation (POC) proposes to continue the development of a new Photoacoustic Gasses Optical Detector and Analyzer (PAGODA) autonomous, network-enabled photoacoustic spectrometer (PAS) for the correlation, analysis, and identification of measured spectra. In t ...

A program to develop a compact, MLA-based, LWIR, full-motion-video hyperspectral imager for chemical detection is proposed. The proposed Hyperspectral Chemical Imaging Sensor (HyCIS) builds upon Surface Optics’ real-time hyperspectral imaging activities, including our 3D full-motion-video spectral imaging (FMV-SI) technology and our MIDIS hyperspectral image processor. Simultaneously sampling 16 ...

SA Photonics is please to submit the proposal for the HawkEye compact LWIR hyperspectral imaging system. HawkEye leverages SA Photonics previous visible, SWIR, and LWIR programs to result in a compact, hand held, battery operated hyperspectral imager in a low cost design approach. Furthermore, HawkEye will leverages SA Photonics expertise in warfighter body worn equipment and ground troop personal ...

Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...

Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...

TECHNIQUES HAVE RECENTLY BEEN DEVELOPED TO ANALYZE THE 'SEISMIC MARGIN' OF A NUCLEAR POWER PLANT USING THE HCLPF CONCEPT (HIGH CONFIDENCE OF A LOW PROBABILITY OF FAILURE). STARTING WITH AN EARTHQUAKE LEVEL SHOSEN FOR MARGIN REVIEW, THE TECHNIQUE DETERMINES WHETHER THE PLANT CAN OR CANNOT 'WITHSTAND THE REVIEW-EARTHQUAKE WITHOUT CORE DAMAGE. HERE 'WITHSTAND' MEANS 'WITHSTAND WITH A HIGH CONFIDENCE ...