Hyperspectral imaging has important benefits in remote sensing and material identification.  This paper describes a class of hyperspectral imaging systems which utilize a novel optical processor that provides video-rate hyperspectral datacubes.  These systems have no moving parts and do not operate by scanning in either the spatial or spectral dimension.  They are capable of recording a full three-dimensional (two spatial, one spectral) hyperspectral datacube with each video frame, ideal for recording data on transient events, or from unstabilized platforms.  We will present the results of laboratory and field-tests for several of these imagers operating in the visible, near-infrared, mid-wavelength infrared (MWIR) and long-wavelength infrared (LWIR) regions.

Hyperspectral imaging has important benefits in remote sensing and material identification.  This paper describes a class of hyperspectral imaging systems which utilize a novel optical processor that provides video-rate hyperspectral datacubes.  These systems have no moving parts and do not operate by scanning in either the spatial or spectral dimension.  They are capable of recording a full three-dimensional (two spatial, one spectral) hyperspectral datacube with each video frame, ideal for recording data on transient events, or from unstabilized platforms.  We will present the results of laboratory and field-tests for several of these imagers operating in the visible, near-infrared, mid-wavelength infrared (MWIR) and long-wavelength infrared (LWIR) regions.

Instrumentation used for health monitoring mounted on the rotor can come loose under centrifugal forces and vibrations. If not caught in time they can fail, and cause long delays, expense, and serious safety issues. This new system helps prevent that by capturing clear video of the rotor while it is spinning at full speed. The device will permit operators to watch “still” video images in a live feed of the spinning rotor during wind tunnel testing.

Instrumentation used for health monitoring mounted on the rotor can come loose under centrifugal forces and vibrations. If not caught in time they can fail, and cause long delays, expense, and serious safety issues. This new system helps prevent that by capturing clear video of the rotor while it is spinning at full speed. The device will permit operators to watch “still” video images in a live feed of the spinning rotor during wind tunnel testing.

Hyperspectral imaging has important benefits in remote sensing and material identification.  This paper describes a class of hyperspectral imaging systems which utilize a novel optical processor that provides video-rate hyperspectral datacubes.  These systems have no moving parts and do not operate by scanning in either the spatial or spectral dimension.  They are capable of recording a full three-dimensional (two spatial, one spectral) hyperspectral datacube with each video frame, ideal for recording data on transient events, or from unstabilized platforms.

Hyperspectral imaging has important benefits in remote sensing and target discrimination applications.  This paper describes a class of snapshot-mode hyperspectral imaging systems which utilize a unique optical processor that provides video-rate hyperspectral datacubes.  This system consists of numerous parallel optical paths which collect the full three-dimensional (two spatial, one spectral) hyperspectral datacube with each video frame and are ideal for recording data from transient events, or on unstable platforms.

Instrumentation used for health monitoring mounted on the rotor can come loose under centrifugal forces and vibrations. If not caught in time they can fail, and cause long delays, expense, and serious safety issues. This new system helps prevent that by capturing clear video of the rotor while it is spinning at full speed. The device will permit operators to watch “still” video images in a live feed of the spinning rotor during wind tunnel testing.

Method of obtaining the spectral content of each pixel in a 2D image. This technology divides the image data, pixel by pixel,into very narrow wavelength (color) bands. The resulting 3D data cube (x, y, λ) allows materials to be identified by their pixel spectral content in addition to their spatial characteristics (see Figure 1). This high-resolution spectral data can effectively recognize unresolved features in the image. It can identify chemical compounds, distinguish camouflage paint from tree canopy, tag recently disturbed earth, and provide data beyond the spatial resolution of the imaging system.

EO/IR reconnaissance is of primary importance to Military Intelligence.  A key tool to increasing the information content of reconnaissance imagery is the use of hyperspectral imaging.  This technology divides the image data, pixel by pixel, into very narrow wavelength (color) bands.  This high-resolution spectral data is effective in identifying previously hidden features in the image, and can distinguish camouflage paint from tree canopy, tag recently disturbed earth, identify compounds in chemical plumes, and provide data beyond the spatial resolution of the imaging system (sub-pixel resolution).