Abstract:
A method using Infrared Imaging Polarimetry for detecting the presence of foreign fluids on water comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. An optimal position of a polarimeter to take images of the water's surface is determined from the expected polarization response. The polarimeter is positioned at the optimal position and records raw image data of the water's surface to obtain polarized images of the area. The polarized images are corrected, and IR and polarization data products are computed. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.
Abstract:
A system for determining a new orientation and/or position of an object comprises a sky polarimeter configured to record image data of the sky, a signal processing unit, and logic configured to receive and store in memory the image data received from the sky polarimeter. The logic calculates the Stokes parameters (S0, S1, S2,), DoLP, and AoP from the image data, detects obscurants and filters the obscurants (such as clouds and trees) from the image data to produce a filtered image. The logic is further configured to find the Sun and zenith in the filtered image, and to determine the roll, pitch, yaw, latitude and longitude of the object using the filtered image. A method for determining a new position/orientation of an object comprises recording raw image data using a sky polarimeter, calculating S0, S1, S2, DoLP, and AoP from the image data, detecting obscurants and filtering the obscurants from the image data to produce a filtered image, obtaining last known position/orientation data of the object, finding the Sun and zenith in the filtered image, and determining the roll, pitch, yaw, latitude and longitude of the object using the filtered image.
Abstract:
A smoke producing method and device of the present disclosure produces a non-incendiary, organic-polymerization based, smoke-producing reaction. The method of generating smoke comprises initiating a frontal polymerization reaction by heating a composition comprising a monomer compound that exothermically polymerizes upon initiation with an initiator compound and an initiator compound that initiates polymerization of the monomer compound present at a mass concentration that is at least five percent of the mass concentration of the monomer compound. The polymerization of the monomer compound is exothermic, and in one embodiment the concentration of initiator compound is at least five percent of the concentration of monomer compound. The smoke mainly comprises thermal decomposition products of the initiator compound.
Abstract:
A short wave infrared polarimeter comprising a pixelated polarizer array and an Indium-Gallium-Arsenide (“InGaAs”) focal plane array. The short wave infrared polarimeter optionally includes a micro-lens array and/or an aperture layer.
Abstract:
A method for detecting the presence of foreign fluids on surface comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. A polarimeter records raw image data of a surface (e.g., the surface of water) to obtain polarized images of the surface. IR and polarization data products are computed from the polarized images. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.
Abstract:
A system for determining a new orientation and/or position of an object comprises a sky polarimeter configured to record image data of the sky, a signal processing unit, and logic configured to receive and store in memory the image data received from the sky polarimeter. The logic calculates the Stokes parameters (S0, S1, S2,), DoLP, and AoP from the image data, detects obscurants and filters the obscurants (such as clouds and trees) from the image data to produce a filtered image. The logic is further configured to find the Sun and zenith in the filtered image, and to determine the roll, pitch, yaw, latitude and longitude of the object using the filtered image. A method for determining a new position/orientation of an object comprises recording raw image data using a sky polarimeter, calculating S0, S1, S2, DoLP, and AoP from the image data, detecting obscurants and filtering the obscurants from the image data to produce a filtered image, obtaining last known position/orientation data of the object, finding the Sun and zenith in the filtered image, and determining the roll, pitch, yaw, latitude and longitude of the object using the filtered image.
Abstract:
A method using Infrared Imaging Polarimetry for detecting the presence of foreign fluids on water comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. An optimal position of a polarimeter to take images of the water's surface is determined from the expected polarization response. The polarimeter is positioned at the optimal position and records raw image data of the water's surface to obtain polarized images of the area. The polarized images are corrected, and IR and polarization data products are computed. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.
Abstract:
A system for determining a new orientation and/or position of an object comprises a sky polarimeter configured to record image data of the sky, a signal processing unit, and logic configured to receive and store in memory the image data received from the sky polarimeter. The logic calculates the Stokes parameters (S0, S1, S2,), DoLP, and AoP from the image data, detects obscurants and filters the obscurants (such as clouds and trees) from the image data to produce a filtered image. The logic is further configured to find the Sun and zenith in the filtered image, and to determine the roll, pitch, yaw, latitude and longitude of the object using the filtered image. A method for determining a new position/orientation of an object comprises recording raw image data using a sky polarimeter, calculating S0, S1, S2, DoLP, and AoP from the image data, detecting obscurants and filtering the obscurants from the image data to produce a filtered image, obtaining last known position/orientation data of the object, finding the Sun and zenith in the filtered image, and determining the roll, pitch, yaw, latitude and longitude of the object using the filtered image.
Abstract:
A method using Long Wave Infrared Imaging Polarimetry for improved mapping and perception of a roadway or path and for perceiving or detecting obstacles comprises recording raw image data using a polarimeter to obtain polarized images of the roadway or area. The images are then corrected for non-uniformity, optical distortion, and registration. IR and polarization data products are computed, and the resultant data products are converted to a multi-dimensional data set for exploitation. Contrast enhancement algorithms are applied to the multi-dimensional imagery to form enhanced object images. The enhanced object images may then be displayed to a user, and/or an annunciator may announce the presence of an object. Further, the vehicle may take evasive action based upon the presence of an object in the roadway.
Abstract:
A method using Infrared Imaging Polarimetry for detecting the presence of foreign fluids on water comprises estimating an expected polarization response for a foreign fluid desired to be detected. Oil from an oil spill is one such foreign fluid. An optimal position of a polarimeter to take images of the water's surface is determined from the expected polarization response. The polarimeter is positioned at the optimal position and records raw image data of the water's surface to obtain polarized images of the area. The polarized images are corrected, and IR and polarization data products are computed. The IR and polarization data products are converted to multi-dimensional data set to form multi-dimensional imagery. Contrast algorithms are applied to the multi-dimensional imagery to form enhanced contrast images, from which foreign fluids can be automatically detected.