Abstract: A system is disclosed that includes a detector and a combination of lenses and mirrors as imaging optics configured to provide for block by block compressive sensing of an imaged scene with the block by block determined by a plurality of shift-invariant masks to produce an image of the scene of the detector. A resolution of the image through the combination of lenses and mirrors is provided at the detector greater than a resolution capability of the detector at the detector. Another system and a method are also disclosed.

Abstract: A method and device for obtaining information from a scene. A beam of photons associated with a scene is separated into a plurality of photon sub-beams. At least two photon sub-beams are optically encoded to generate at least two corresponding encoded photon sub-beams. Each encoded photon sub-beam is encoded based on a corresponding encoding function. The encoded photon sub-beams are combined to generate a combined photon beam. A detection device detects the combined photon beam to generate image data. The image data is decoded based on the plurality of encoding functions to generate a plurality of sub-images. Each sub-image corresponds to one of the at least two photon sub-beams of the plurality of photon sub-beams.

Abstract: A method and device for obtaining information from a scene. A beam of photons associated with a scene is separated into a plurality of photon sub-beams. At least two photon sub-beams are optically encoded to generate at least two corresponding encoded photon sub-beams. Each encoded photon sub-beam is encoded based on a corresponding encoding function. The encoded photon sub-beams are combined to generate a combined photon beam. A detection device detects the combined photon beam to generate image data. The image data is decoded based on the plurality of encoding functions to generate a plurality of sub-images. Each sub-image corresponds to one of the at least two photon sub-beams of the plurality of photon sub-beams.

Abstract: A passive automatic target recognition (ATR) system includes a range map processor configured to generate range-to-pixel map data based on digital elevation map data and parameters of a passive image sensor. The passive image sensor is configured to passively acquire image data. The passive ATR system also includes a detection processor configured to identify a region of interest (ROI) in the passively acquired sensor image data based on the range-to-pixel map data, and an ATR processor configured to generate an ATR decision for the ROI.

Abstract: A method of imaging encodes light from a scene by adding projective codes expressed as a product of a known projective code matrix with a known reconstruction matrix representing an image reconstruction operation. The encoded light is detected at a photodetector. The measurements are processed by compressive sensing including projective sub-sampling to represent the measurements as a linear system. The linear system is expressed as a plurality of undetermined linear equations including a product of the known reconstruction matrix and an unknown sparse vector. The sparse vector is approximated to provide solutions to the undetermined linear equations. At least one of a reconstructed image and an exploited image is generated from the measurements using solutions to the undetermined linear equations, wherein a product of the known reconstruction matrix with the solutions to underdetermined linear equations provides an image representation of the scene of interest having N pixels, where N>k.

Abstract: A passive automatic target recognition (ATR) system includes a range map processor configured to generate range-to-pixel map data based on digital elevation map data and parameters of a passive image sensor. The passive image sensor is configured to passively acquire image data. The passive ATR system also includes a detection processor configured to identify a region of interest (ROI) in the passively acquired sensor image data based on the range-to-pixel map data, and an ATR processor configured to generate an ATR decision for the ROI.