KEYWORDS: Data storage, Cameras, Optical filters, Image filtering, Control systems, Imaging systems, Medium wave, Staring arrays, Image processing, Video processing
The hypersensor camera operates with a unique multispectral imaging modality developed
recently at Surface Optics Corporation. The Hypersensor camera is small, low cost, rugged, and
solid state, using micro-optics and an array of spectral filters, which captures a complete
multispectral cube of spatial and spectral data with every focal plane exposure. The prototype
VNIR Hypersensor camera captures full cubes of 588x438 (spatial pixels) x 16 (spectral bands)
at frame rates up to 60 Hz. This paper discusses the optical design of the Hypersensor camera,
the measured performance, and the design and operation of a custom video-rate hyperspectral
processor developed for this system.
The Hyperspectral Polarimetric Imaging Testbed contains a VNIR, SWIR, and three-axis
imaging polarimeter, each operating simultaneously through a common fore-optic. The
system was designed for the detection of man-made objects in natural scenes. The
imagery produced by the various imaging legs of the system is readily fused, due to the
identical image format, FOV and IFOV of each optical leg. The fused imagery is shown
to be useful for the detection of a variety of man-made surfaces. This paper describes the
general design and function of the mature system, the Stochastic Gaussian Classifier
processing method used for hyperspectral anomaly detection, the polarimetric image
processing methods, and a logical decision structure for the identification of various
surface types. The paper will also describe in detail the detection results for a variety of
targets obtained in field testing conducted with the system.
The Hyperspectral Polarimetric Imaging (HPI) Testbed system combines a dual-band hyperspectral imager (VNIR and SWIR), a 3-axis polarimetric imager, and a high resolution panchromatic imager. All imagers operate through a common fore-optic, and thus have identical fields of view, with simultaneous image capture. The HPI testbed system was developed to aid a sentry in the surveillance of broad sectors for intrusion by ground vehicles or other non-natural objects. The various image components are readily combined through image fusion, which lends itself well to anomaly detection algorithms. This paper describes the general HPI testbed system design and performance, and also provides a detailed description of the polarimetric imaging system, calibration methods, and performance.
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