| Patent application number | Description | Published |
|---|
| 20090074297 | HYPERSPECTRAL IMAGE DIMENSION REDUCTION SYSTEM AND METHOD - Provided is a method of hyperspectral image dimension reduction. The method includes receiving a hyperspectral image having a plurality of pixels. A set of basis vectors is established at least in part with respect to the spectral vectors of the initial hyperspectral image. For each pixel of the hyperspectral image, the spectral vector is read and decomposed, i.e. unmixed, with the basis vector set to provide at least a reduced dimension vector for each pixel. Collectively the reduced dimension vectors for each pixel represent the dimensionally reduced image. A system operable to perform the method is also provided. | 03-19-2009 |
| 20100202683 | OPTIMIZED IMAGING SYSTEM FOR COLLECTION OF HIGH RESOLUTION IMAGERY - Radiation is received from a scene impinging on at least one focal plane. A first spectral band is sampled to obtain a first band mean signal level, and either a first band image frame is collected when the first band mean signal level is at or below a first threshold, or a first image frame is collected in a first sub-band when the first band mean signal level is above the first threshold. A second sub-band is sampled to obtain a second sub-band mean signal level and a second image frame is collected in the second sub-band when the second sub-band mean signal level is at or below a second threshold. An image to be displayed is generated by combining at least two collected frames. | 08-12-2010 |
| 20100265364 | SELF-CORRECTING ADAPTIVE LONG-STARE ELECTRO-OPTICAL SYSTEM - An imaging platform minimizes image distortion when there is relative motion of the imaging platform with respect to the scene being imaged where the imaging platform may be particularly susceptible to distortion when it is configured with a wide field of view or high angular rate of movement, or when performing long-stares at a given scene (e.g., for nighttime and low-light imaging.) Distortion correction may be performed by predicting distortion due to the relative motion of the imaging platform, determining optical transformations to prevent the distortion, dynamically adjusting the optics of the imaging platform during exposure, and performing digital image correction. | 10-21-2010 |
| 20100288910 | ADAPTIVE SPATIAL-SPECTRAL PROCESSING (ASSP) - A hyperspectral imaging sensor and an adaptive spatial spectral processing filter capable of detecting, identifying, and/or classifying targets having a spatial extent of one pixel or less includes a sensor that may be oversampled such that a pixel is spatially smaller than the optical blur or point spread function of the sensor. Adaptive spatial spectral processing may be performed on hyperspectral image data to detect targets having spectral features that are known a priori, and/or that are anomalous compared to nearby pixels. Further, the adaptive spatial spectral processing may recover target energy spread over multiple pixels and reduce background clutter to increase the signal-to-noise ratio. | 11-18-2010 |
| 20100290053 | KNOWLEDGE BASED SPECTROMETER - A sensor and method for remotely determining a presence of a particular substance based on spectral data of the particular substance is disclosed. The sensor includes a sampling module configured to detect radiation from a particular substance using an interferometer, wherein the sampling module includes a control module that is configured to guide and measure spacing of samples taken by the sampling module; a focal plane module configured to detect and convert an interference pattern produced by the interferometer into a series of digital samples; a reference spectra modification module configured to modify reference spectra by modifying according to the measured spacing of samples and an instrument line shape of the sampling module; an estimation module configured to receive the converted series of digital samples and transform the non-uniformly spaced digital samples into frequency space using band centers determined from reference spectra as modified by the instrument line shape of the sampling module; a comparison module configured to compare the transformed digital samples against a database of known chemical signatures; and a determination module configured to determine the presence of the particular substance based on the results of the comparison. | 11-18-2010 |
| 20100303371 | System and Method For Reducing Dimensionality Of Hyperspectral Images - A method for reducing dimensionality of hyperspectral images may include receiving a hyperspectral image having a plurality of pixels. A basis vector set including a number of members may then be established, wherein each of the members comprises a basis vector. For each of the plurality of pixels, a spectral vector for the pixel may be read and decomposed with the members of the basis vector set to derive a residual vector for the pixel. A basis vector for the pixel may then be added to the members of the basis vector set if the residual vector for the pixel has a magnitude exceeding a predetermined threshold, and the basis vector set may then be optimized to eliminate one of the members of the basis vector set, whereby the optimized basis vector set includes the number of members. A system configured to perform the method may also be provided. | 12-02-2010 |
| 20110033129 | RESOLUTION ON DEMAND - A method samples a first spectral band to obtain an initial image frame, determines at least one region of interest of the scene from the initial image frame, each of the at least one region of interest associated with a mean signal level, illuminates the at least one region of interest with at least one illuminator when the mean signal level of the at least one region of interest is at or below a respective threshold of a first plurality of thresholds, the at least one region of interest being illuminated in accordance with a power threshold indicating a minimum illuminator power and agility necessary to illuminate the at least one region of interest, collects at least one image frame in at least one sub-band of a second spectral band, and generates at least one image to be displayed from at least the at least one image frame. | 02-10-2011 |
| 20120020515 | MULTI-PHENOMENOLOGY OBJECT DETECTION - Method and system for utilizing multiple phenomenological techniques to resolve closely spaced objects during imaging includes detecting a plurality of closely spaced objects through the imaging of a target area by an array, and spreading electromagnetic radiation received from the target area across several pixels. During the imaging, different phenomenological techniques may be applied to capture discriminating features that may affect a centroid of the electromagnetic radiation received on the array. Comparing the locations of the centroids over multiple images may be used to resolve a number of objects imaged by the array. Examples of such phenomenological discriminating techniques may include imaging the target area in multiple polarities of light or in multiple spectral bands of light. Another embodiment includes time-lapse imaging of the target area, to compare time lapse centroids for multiple movement signal characteristics over pluralities of pixels on the array. | 01-26-2012 |
