Abstract: A combined multi-spectral and polarization (CMSP) sensor is disclosed that enhances contrast-to-noise ratio (CNR). The CMSP sensor comprises a multi-spectral and polarization (MSP) filter, a single focal plane array (FPA), and a controller. The FPA comprises a plurality of detectors and the MSP filter comprises at least a first bandpass filter having a first frequency range and a second bandpass filter having a second frequency range that is distinct from the first frequency range and a first polarization filter having a first polarization value and a second polarization filter having a second polarization value that is distinct from the first polarization value.

Abstract: A combined multi-spectral and polarization (CMSP) sensor is disclosed that enhances contrast-to-noise ratio (CNR). The CMSP sensor comprises a multi-spectral and polarization (MSP) filter, a single focal plane array (FPA), and a controller. The FPA comprises a plurality of detectors and the MSP filter comprises at least a first bandpass filter having a first frequency range and a second bandpass filter having a second frequency range that is distinct from the first frequency range and a first polarization filter having a first polarization value and a second polarization filter having a second polarization value that is distinct from the first polarization value.

Abstract: A combined multi-spectral and polarization (CMSP) sensor is disclosed that enhances contrast-to-noise ratio (CNR). The CMSP sensor comprises a multi-spectral and polarization (MSP) filter, a single focal plane array (FPA), and a controller. The FPA comprises a plurality of detectors and the MSP filter comprises at least a first bandpass filter having a first frequency range and a second bandpass filter having a second frequency range that is distinct from the first frequency range and a first polarization filter having a first polarization value and a second polarization filter having a second polarization value that is distinct from the first polarization value.

Abstract: A hyperspectral analysis computer device is provided. The hyperspectral analysis computer device includes at least one processor in communication with at least one memory device. The hyperspectral analysis computer device is configured to store a plurality of spectral analysis data, receive at least one background item and at least one item to be detected from a user, generate one or more spectral bands for analysis based on the at least one background item, the at least one item to be detected, and the stored plurality of spectral analysis data, receive one or more mission parameters from the user, and determine a probability of success based on the one or more mission parameters and the generated one or more spectral bands.

Abstract: A hyperspectral analysis computer device is provided. The hyperspectral analysis computer device includes at least one processor in communication with at least one memory device. The hyperspectral analysis computer device is configured to store a plurality of spectral analysis data, receive at least one background item and at least one item to be detected from a user, generate one or more spectral bands for analysis based on the at least one background item, the at least one item to be detected, and the stored plurality of spectral analysis data, receive one or more mission parameters from the user, and determine a probability of success based on the one or more mission parameters and the generated one or more spectral bands.

Abstract: A hyperspectral analysis computer device is provided. The hyperspectral analysis computer device includes at least one processor in communication with at least one memory device. The hyperspectral analysis computer device is configured to store a plurality of spectral analysis data, receive at least one background item and at least one item to be detected from a user, generate one or more spectral bands for analysis based on the at least one background item, the at least one item to be detected, and the stored plurality of spectral analysis data, receive one or more mission parameters from the user, and determine a probability of success based on the one or more mission parameters and the generated one or more spectral bands.

Abstract: A modular interferometric telescope including a base and an optical detector. A mounting beam has a first end, a second end, and a length, and is connected rotatably to the base at a point between the first and second end. The mounting beam is rotatable about a first axis extending in a direction of an object to be observed. A first light-collecting assembly is connected to the mounting beam proximal to the first end relative to the second end. The first light-collecting assembly directs light from the object to the optical detector. A second light-collecting assembly connected to the mounting beam is proximal to the second end relative to the first end. The second light-collecting assembly directs the light from the object to the optical detector. A first optical assembly is configured to receive the light from the object and direct the light to the optical detector.

Abstract: A hyperspectral analysis computer device is provided. The hyperspectral analysis computer device includes at least one processor in communication with at least one memory device. The hyperspectral analysis computer device is configured to store a plurality of spectral analysis data, receive at least one background item and at least one item to be detected from a user, generate one or more spectral bands for analysis based on the at least one background item, the at least one item to be detected, and the stored plurality of spectral analysis data, receive one or more mission parameters from the user, and determine a probability of success based on the one or more mission parameters and the generated one or more spectral bands.

Abstract: The system contains a plurality of sensors outputting sensor data. A processor is in communication with the sensors to receive the sensor data. A logic system is in communication with the processor. The logic system evaluates a likelihood of a plurality of hypotheses, generates a representation of the likelihood of the plurality of hypotheses in a coordinate system, and connects trajectories between a plurality of discrete hypothesis aspects of the plurality of hypotheses. An output of the processor provides at least one likely outcome and a confidence level for each of the likely outcomes. At least one likely outcome is selected based on contours of the representation of the likelihood to of the plurality of hypotheses in the coordinate system.

Abstract: A fiber optic phased array and control method are provided for controllably adjusting the phase and amplitude of the optical signals emitted by a plurality of fiber optic amplifiers to compensate for atmospheric turbulence. The fiber optic phased array also includes a sensor assembly for detecting: (i) the phase of the optical signals that are emitted by the fiber optic amplifiers, and (ii) both the phase and the amplitude of the optical signals that have been reflected by the target. The fiber optic phased array also includes phase modulators and a gain adjustment mechanism for altering the phase and the amplitude of the optical signals propagating along the fiber optic amplifiers to compensate for modifications in the phase and amplitude that will be introduced by atmospheric turbulence. Among other things, the amplitude control of the optical signals is not adversely effected by intensity nulls in the reflected wavefront.

Abstract: An optical field sensing system and an associated method are provided that are tolerant of scintillation. The system includes a wavefront sensor that measures gradients across a wavefront at a first resolution defined by the subapertures of the wavefront sensor. The system also includes an intensity sensor that measures the intensity across the wavefront at a higher resolution. The system further includes a wavefront processor that determines respective phases across the wavefront. In addition to the gradients and the intensity measurements, the wavefront processor may determine the respective phases based also upon the noise affiliated with the measurements. In this regard, the wavefront processor may determine the respective phases across the wavefront at least partially based upon the gradients as adjusted by weights that are based upon the intensity measured by the intensity sensor and are influenced by evidence of scintillation.