A hyperspectral infrared imaging system includes optical components, multi-color focal plane array or arrays, readout electronics, control electronics, and a computing system. The system measures a limited number of spatial and spectral points during image capture and the full dataset is computationally generated.

A system simulates hyperspectral imaging data or multispectral imaging data for a simulated sensor. Blackbody radiance of real-world thermal imagery data is computed using a Planck function, which generates a simulated spectral hypercube. Spectral emissivity data for background materials are multiplied by a per-pixel weighting function, which generates weighted spectral emissivity data. The simulated spectral hypercube is multiplied by the weighted spectral emissivity data, which generates background data in the simulated spectral hypercube. Simulated targets are inserted the background data using the Planck function. The simulated spectral hypercube is modified, and then it is used to estimate a mission measure of effectiveness of the simulated sensor.

A spectrometer and a metrology system capable of improving spectral performance are provided. The spectrometer includes a collimator lens, a focusing lens, and a spatial light modulator (SLM), wherein light reflected by the SLM is output from an output slit through the focusing lens and a dispersive optical element, and on a second plane perpendicular to a first plane including optical paths of pieces of light dispersed at different angles, an incident slit, the output slit, and a reflective plane have a conjugate relationship.

Spectral analysis system for capturing a spectrum with an optic that forms an optical path. The spectral analysis system is configured to apply a correction function to a captured spectrum so as to obtain a modified spectrum.

Fourier Transformation Spectrometer, FT Spectrometer, comprising: A double beam interferometer, comprising: At least one beam splitter unit (622; 623; 624, 625, 626, 627; 636; 673, 674, 675) for splitting an incident light beam (EB) of a spatially expanded object into a first partial beam (TB1) and a second partial beam (TB2); at least a first beam deflection unit (630; 641; 651; 661; 697) designed to deflect the first partial beam (TB1) at least a first and a second time, wherein the second beam deflection unit (630) is designed to also deflect the second partial beam (TB2) at least at first and a second time; or the double beam interferometer comprises a second beam deflection unit (642; 652; 662) designed to deflect the second partial beam (TB2) at least a first and a second time, wherein the beam deflection unit is also designed to at least partially spatially overlay the first partial beam (TB1) and the second partial beam (TB2), and the respectively first and second deflection of the first partial beam (TB1) and of the second partial beam (TB2) generates a lateral shear (s); at least a first field of view discriminator unit (BFD1; 631; 645; 653; 656; 666; 677; 976) arranged such that the first partial beam (TB1) is spatially selected after the splitting and prior to the second deflection; at least a second field of view discriminator unit (BFD2; 632; 646; 654; 657; 667; 678; 977) arranged such that the second partial beam (TB2) is spatially selected after the splitting and prior to the second deflection.

A spectral filter module includes a spectral filter that splits light having a wavelength corresponding to an input drive voltage from incident light and outputs the light, a drive unit that outputs the drive voltage based on an input wavelength command value, and a drive controller that outputs the wavelength command value and changes the wavelength command value every time a trigger signal is input from the outside.

An optical sensor device may include an optical sensor that includes a set of sensor elements; an optical filter that includes one or more channels; a phase mask configured to distribute a plurality of light beams associated with a subject in an encoded pattern on an input surface of the optical filter; and one or more processors. The one or more processors may be configured to obtain, from the optical sensor, sensor data associated with the subject and may determine a distance of the subject from the optical sensor device. The one or more processors may select, based on the distance, a processing technique to process the sensor data, wherein the processing technique is an imaging processing technique or a spectroscopic processing technique. The one or more processors may process, using the selected processing technique, the sensor data to generate output data and may provide the output data.

A hyperspectral imaging apparatus based on a monolithic or free space optical spatial heterodyne spectrometer (SHS) design, array detector, electromagnetic radiation source, and optical collection element is described. The apparatus enables the simultaneous acquisition of spatially isolated Fizeau fringe patterns, each having an encoded light product that is decoded to produce a spectral fingerprint of the interrogated object. Features specific to the SHS, such as a large entrance aperture, large acceptance angle, and no moving parts, enable a variety of optical collection schemes including lens arrays, solid-core and hollow core waveguides, and others. In one example, a microlens array (MLA) is configured with the hyperspectral imaging apparatus to simultaneously image many hundred spatially isolated Fizeau fringe patterns while interrogating an object using an electromagnetic radiation source. Each Fizeau fringe pattern recorded by the array detector is decoded to produce a full Raman or laser-induced breakdown spectroscopy (LIBS) spectrum. Compared to prior art, the hyperspectral imaging apparatus overcomes the primary limitations of needing to trade time resolution for both spectral and spatial data density because the imaging apparatus simultaneously acquires both spectral and special information. Based on the selection and configuration of diffraction gratings, the grating aperture size, Littrow wavelength (i.e., heterodyne wavelength), and optical collection configuration, the apparatus can be tailored to produced low or high spectral resolution with a spectral bandpass that covers a portion or the entire Raman spectral range (up to 4200 cm.sup.−1) and for LIBS as well.

A line scan imaging system scans a targeted inspection area and gathers reflectance and fluorescence data. The inspection system comprises at least a rotatable/pivotable mirror-faced triangular prism, a line illumination source, and a line scan hyperspectral camera. The prism has a mirrored camera face and a mirrored illumination face. In operation, as the prism rotates, the camera instantaneous field of view (IFOV) and the projected illumination line converge at a nadir convergence scan line so that the hyperspectral camera receives line scan data from the nadir convergence scan line as the nadir convergence scan line traverses an inspection area.

A computer-implemented method for determining field boundaries and crop forecasts in each field is provided. The method includes deriving vegetation indices for each geo-spatial pixel of each image of multi-spectral imagery at a plurality of points in time, constructing minimum bounding boxes for each image according to the vegetation indices, and generating, based on a neural network analysis of each image and the minimum bounding boxes, a geo-spatial plot of crops including a predicted plot of future crop usage for an area including each field in the multi-spectral imagery.