Abstract: A system for signature prediction and feature-level fusion of a target according to various aspects of the present invention includes a first sensing modality for providing a measured data set. The system further includes a processor receiving the measured data set and generating a first k-orthogonal spanning tree constructed from k orthogonal minimal spanning trees having no edge shared between the k minimal spanning trees to define a first data manifold. A method for signature prediction and feature-level fusion of a target according to various aspects of the present invention includes generating a first manifold by developing a connected graph of data from a first sensing modality using a first k-orthogonal spanning tree, generating a second manifold by developing a second connected graph of data from a second sensing modality using a second k-orthogonal spanning tree, and aligning the first manifold and the second manifold to generate a joint-signature manifold in a common embedding space.

Abstract: Methods and apparatus for detecting anomalies in images according to various aspects of the present invention operate in conjunction with an optical flow system. The optical flow system may receive image data for a first image and a second image and generate flow vectors corresponding to differences between the first image and the second image. An analyzer may be coupled to the optical flow system and analyze the flow vectors to identify anomalies in the second image.

Abstract: The present invention describes a system and method of OAM diverse signal processing using classical beams for applications in which OAM signal character is controlled such as optical tagging and applications in which OAM signal character is not controlled such as clutter mitigation and interference cancellation for target detection, identification etc. This is accomplished by transmitting a source beam having a prescribed state with one or more non-zero OAM components, reflecting the beam off a ‘tagged’ or ‘untagged’ target and receiving the return beam in the direct return path to measure the one or more OAM components to identify the target. OAM processing provides additional degrees of processing freedom to greatly enhance the processing capabilities to detect and identify both ‘tagged’ and ‘untagged’ targets.

Abstract: The present invention describes a system and method of OAM diverse signal processing using classical beams for applications in which OAM signal character is controlled such as optical tagging and applications in which OAM signal character is not controlled such as clutter mitigation and interference cancellation for target detection, identification etc. This is accomplished by transmitting a source beam having a prescribed state with one or more non-zero OAM components, reflecting the beam off a ‘tagged’ or ‘untagged’ target and receiving the return beam in the direct return path to measure the one or more OAM components to identify the target. OAM processing provides additional degrees of processing freedom to greatly enhance the processing capabilities to detect and identify both ‘tagged’ and ‘untagged’ targets.

Abstract: A system for signature prediction and feature-level fusion of a target according to various aspects of the present invention includes a first sensing modality for providing a measured data set. The system further includes a processor receiving the measured data set and generating a first k-orthogonal spanning tree constructed from k orthogonal minimal spanning trees having no edge shared between the k minimal spanning trees to define a first data manifold. A method for signature prediction and feature-level fusion of a target according to various aspects of the present invention includes generating a first manifold by developing a connected graph of data from a first sensing modality using a first k-orthogonal spanning tree, generating a second manifold by developing a second connected graph of data from a second sensing modality using a second k-orthogonal spanning tree, and aligning the first manifold and the second manifold to generate a joint-signature manifold in a common embedding space.

Abstract: Methods and apparatus for detecting anomalies in images according to various aspects of the present invention operate in conjunction with an optical How system. The optical flow system may receive image data for a first image and a second image and generate How vectors corresponding to differences between the first image and the second image. An analyzer may be coupled to the optical flow system and analyze the flow vectors to identify anomalies in the second image.

Abstract: Systems and methods of tracking a beam-aspect target are provided. In embodiments, a target is tracked with a Kalman filter while detections are received. After a detection is missed, the Kalman filter may be concurrently propagated with a blind-zone particle filter until a probability that the target is in a blind zone exceeds a threshold. When the probability exceeds the threshold, the Kalman filter may refrain from further propagating. After a gated detection is received, the blind-zone particle filter and an unrestricted-zone particle filter may be concurrently propagated while a probability that the target is in an unrestricted zone exceeds a threshold. The system may return to tracking with the Kalman filter when a covariance of the unrestricted-zone particle filter falls below a predetermined covariance.

Abstract: A system and method is disclosed for helping determine a condition of selected tissue of a patient based on a set of thermal images of the selected tissue acquired over a time period. The image set has image regions with corresponding characteristics indicative of a temperature condition of an associated part of the selected tissue, which had been subjected to a thermal challenge during part of the image acquisition time period. Feature values are determined based on the characteristics of selected image regions. A classifier is applied to the features to provide an indication of the condition of the selected tissue, such as indicating a likelihood of malignancy.