Abstract:
Interferometric transform spectrometer (ITS) systems and methods of operation thereof. In one example, an ITS system includes a Michelson interferometer that introduces a varying optical path length difference (OPD) between its two arms so as to produce an interferogram, a detector that receives and samples the interferogram, and a scan controller coupled to the detector and to Michelson interferometer. The scan controller controls the Michelson interferometer to vary the OPD in discrete steps such that the detector provides M samples of the interferogram for each of two scan segments. In the first scan segment, the M samples have a uniform or non-uniform sample spacing and the OPD has a first maximum value. In the second scan segment, the M samples have an incrementally increasing sample spacing and the OPD has a second maximum value that is at least twice the first maximum value.
Abstract:
Methods and systems are disclosed for compensating for image motion induced by a relative motion between an imaging platform and a scene. During an exposure period, frames of the scene may be captured respectively in multiple spectral bands, where one of the spectral bands has a lower light level than the first spectral band, and contemporaneous frames include a nearly identical induced image motion. Image eigenfunctions are utilized to estimate the induced image motion from the higher SNR spectral band, and compensate in each of the multiple bands.
Abstract:
Systems and methods for identifying root causes for and/or correcting pointing error in moving platform imaging. Scene frames captured by a sensor (e.g., a focal plane array, etc.) are digitally transformed to compensate for relative motion between the scene and platform, then motion residuals are computed based on inter-frame scene gradients, and image eigenfunctions are fit to the motion residuals to compute coefficients that may be used to efficiently correct future image acquisition, determine root cause(s) of pointing (e.g., sensor pointing error, scene mean altitude, platform altitude, etc.) errors, and further digitally correct the captured images. Comparisons may be made to a database of residual transformation coefficients based on known or expected relative motion of the platform to the scene and a known or expected pointing angle. Truly moving targets may be identified, removed and re-added after image digital transformation processing.
Abstract:
An imaging transform spectrometer, and method of operation thereof, that is dynamically configurable “on demand” between an interferometric spectrometer function and a broadband spatial imaging function to allow a single instrument to capture both broadband spatial imagery and spectral data of a scene. In one example, the imaging transform spectrometer is configured such that the modulation used for interferometric imaging may be dynamically turned ON and OFF to select a desired mode of operation for the instrument.
Abstract:
Methods and systems are disclosed for compensating for image motion induced by a relative motion between an imaging platform and a scene. During an exposure period, frames of the scene may be captured respectively in multiple spectral bands, where one of the spectral bands has a lower light level than the first spectral band, and contemporaneous frames include a nearly identical induced image motion. Image eigenfunctions are utilized to estimate the induced image motion from the higher SNR spectral band, and compensate in each of the multiple bands.
Abstract:
Interferometric transform spectrometer (ITS) systems and methods of operation thereof. In one example, an ITS system includes a Michelson interferometer that introduces a varying optical path length difference (OPD) between its two arms so as to produce an interferogram, a detector that receives and samples the interferogram, and a scan controller coupled to the detector and to Michelson interferometer. The scan controller controls the Michelson interferometer to vary the OPD in discrete steps such that the detector provides M samples of the interferogram for each of two scan segments. In the first scan segment, the M samples have a uniform or non-uniform sample spacing and the OPD has a first maximum value. In the second scan segment, the M samples have an incrementally increasing sample spacing and the OPD has a second maximum value that is at least twice the first maximum value.
Abstract:
An imaging interferometric transform spectropolarimeter configured to simultaneously collect four polarizations. In one example, an spectropolarimeter includes a dual-beam interferometric transform spectrometer configured to receive electromagnetic radiation from a viewed scene, and including first and second focal plane arrays that are spatially registered with one another, a first polarizer coupled to the first focal plane array and configured to transmit only a first pair of polarizations to the first focal plane array, and a second polarizer coupled to the second focal plane array and configured to transmit only a second pair of polarizations to the second focal plane array, the second pair of polarizations being different than the first pair of polarizations.
Abstract:
An imaging interferometric transform spectropolarimeter configured to simultaneously collect four polarizations. In one example, an spectropolarimeter includes a dual-beam interferometric transform spectrometer configured to receive electromagnetic radiation from a viewed scene, and including first and second focal plane arrays that are spatially registered with one another, a first polarizer coupled to the first focal plane array and configured to transmit only a first pair of polarizations to the first focal plane array, and a second polarizer coupled to the second focal plane array and configured to transmit only a second pair of polarizations to the second focal plane array, the second pair of polarizations being different than the first pair of polarizations.