Abstract: A computer program product interacts with machine-readable mediums with instructions for automated launch detection and recognition. It captures a video of a specified region using detectors on a vehicle. Raw image frames from the video undergo pre-processing, followed by feeding through anomalous clutter tracker pipeline, exceedance detection pipeline using global clutter suppression pipeline and an optical flow pipeline. Image windows are generated by rejecting clutter using exceedance pixel locations to create image chips of the target and local background that are run through a convolutional neural network, classifying them as launches or background clutter. A Kalman filter is applied to at least one frame detection list to generate a launch detection list and causes the launch to be detected.

Abstract: A computer program product interacts with machine-readable mediums with instructions for automated target recognition. It captures a video of a specified region using detectors on a vehicle. Raw image frames from the video undergo pre-processing, followed by feeding through long and short-range target detection pipelines. Image frames are downscaled in the short-range pipeline, generating image windows and applying a trained convolutional neural network (CNN). Full resolution and non-redundant image chips are created. Detection region of interest (ROI) proposal lists are generated and analyzed with the CNN, producing frame detection lists with detected targets. These lists are stacked and processed using a multi-target Kalman filter, ultimately creating a track list of targets for monitoring.

Abstract: A system and method is provided to characterize optical properties (Scattering, attenuation, de-polarization) of a light-transmitting medium and local environment, by determining a scattering rate of light through a medium, wherein determining the scattering rate of light through the medium is accomplished by utilizing polarized light transmitted from an optical source. The system and method performs a function based on the characterized optical properties of the medium, wherein the function is one of, for example: detection of objects embedded in the medium, object ranging through the medium, or deblurring of images acquired through the medium.

Abstract: Predicting whether objects in an image form a scattered minefield (SMF) is accomplished by a system and method utilizing at least one non-transitory computer readable storage medium having instructions stored thereon. When the instructions are executed by a processor, the instructions implement operations to determine whether the objects define a SMF based on an estimation of a distribution process from which the MLOs are positioned on the surface in the image obtained from the image sensor.

Abstract: Systems and methods for three-dimensional (3D) shape estimation of objects embedded in light-scattering media via polarimetry are provided. The systems and methods utilize polarization to exploit forward scattering in the light-scattering medium to mitigate backscatter interference (BSI).

Abstract: Systems and methods for three-dimensional (3D) shape estimation of objects embedded in light-scattering media via polarimetry are provided. The systems and methods utilize polarization to exploit forward scattering in the light-scattering medium to mitigate backscatter interference (BSI).

Abstract: A projectile detection technique is disclosed. The technique helps improve the self-defense capabilities of strategic platforms such as naval ships against asymmetric threats such as anti-ship missiles (ASMs). These threats can be particularly challenging in a highly cluttered maritime environment, where the threats can be too close for radar to accurately detect. In one example, the projectile detection technique automatically detects ASMs flying above the horizon by using mid-wavelength infrared (MWIR) and visible/near-infrared (VNIR) camera systems, and locating the horizon line and segmenting the imagery into different regions. Projectiles are detected in the near-horizon segment using a Fourier phase-only transform and convolution matched filters to enhance exceedances, then applying multi-frame processing to measure persistence and scintillation (e.g., flicker from missile exhaust) to help filter out background clutter objects.

Abstract: A method of detecting land mines includes pre-processing a raw laser interferometer image, processing pre-processed image by calculating one or more derivatives having one or more peaks, along vectors extending in at least two different directions, mapping the peaks of said derivatives to create a derivative map, and detecting an anomalous signature in the derivative map.

Abstract: A method of detecting land mines includes pre-processing a raw laser interferometer image, processing pre-processed image by calculating one or more derivatives having one or more peaks, along vectors extending in at least two different directions, mapping the peaks of said derivatives to create a derivative map, and detecting an anomalous signature in the derivative map.