Abstract: A method of communicating data between at least two coprocessors in a single computing environment wherein one of the coprocessors is a transmitting processor and the other of the coprocessors is a receiving processor and the single computing environment includes a memory accessible by the coprocessors includes, among other things, determining in the transmitting processor the size of data to be communicated, attaching the data to a message and transmitting the message to the receiving processor if the size of the data is below or equal to a predetermined threshold value, and transmitting to the receiving processor a pointer that points to a location of the data in the memory if the size of the data is above the predetermined threshold value.

Abstract: A method of tracking motion of at least one object of a group of moving objects using hyperspectral imaging includes, among other things, obtaining a series of hyperspectral image frames; comparing each frame in the series to a template to determine changes in the image between frames; identifying a group of pixels in each frame associated with the changes; identifying changes as motion of the moving objects; correlating the pixel groups frame to frame to spatially determine at least one parameter of the motion of the objects; and correlating the pixel groups with a spectral reflectance profile associated with the at least one object wherein the track of the at least one object is distinguishable from the tracks of other moving objects.

Abstract: A method of referencing an imaged object includes, among other things, obtaining a series of images, observing key characteristics of the object in each of the series of images, associating the observed key characteristics with the object; and assigning a unique identifier to the object based upon the associated key characteristics. The series of images includes spectral and spatial imagery. Some of the key characteristics are in the spectral imagery and some of the key characteristics are in the spatial imagery.

Abstract: A method 10 of modeling hyperspectral images includes building a scene in a first frame with objects and materials using a three dimensional modeling tool 16, selecting one or more hyperspectral bands and changing the reflectivity of each object and material 20 in the scene to correspond to reflectivity in the hyperspectral bands, changing the emissivity of a spectral source 24 for each object and material in the scene to correspond to the emissivity of the spectral source in the hyperspectral bands, rendering the scene to generate a hyperspectral image 28, and repeating the process for subsequent frames 30.

Abstract: The invention relates a method of identifying a tracked object that has a known database of hyperspectral and spatial information. The method associates an identifier with the tracked object; selects a parameter associated with the hyperspectral or spatial information of the tracked object; detects a deviation in the selected parameter; compares the deviation with the database; and if the deviation exceeds a predetermined threshold, assigns a new identifier to the tracked object, and if the deviation does not exceed the predetermined threshold, continues tracking the tracked object.

Abstract: A method of referencing an imaged object includes, among other things, obtaining a series of images, observing key characteristics of the object in each of the series of images, associating the observed key characteristics with the object; and assigning a unique identifier to the object based upon the associated key characteristics. The series of images includes spectral and spatial imagery. Some of the key characteristics are in the spectral imagery and some of the key characteristics are in the spatial imagery.

Abstract: The invention relates to a method of selecting an algorithm for use in processing hyperspectral data from a set of algorithms, each having qualities for processing certain characteristics of hyperspectral data.

Abstract: The invention relates to a method of evaluating the confidence of matching signatures of a hyperspectral image of at least one tracked object, defined by pixels on an image sensor, to a hyperspectral image template in real time while tracking the at least one tracked object.

Abstract: A method of removing a hyperspectral signature from at least one hyperspectral image, includes among other things, selecting a hyperspectral signature and determining a dissimilarity value between each pixel in the at least one hyperspectral image and the selected at least one hyperspectral signature. If the dissimilarity value between the signature of a given pixel in the at least one hyperspectral image and the selected at least one hyperspectral signature is less than a predetermined threshold value then the value of the signature for the given pixel is set to zero to create a signature-subtracted hyperspectral image.

Abstract: A method of tracking motion of at least one object of a group of moving objects using hyperspectral imaging includes, among other things, obtaining a series of hyperspectral image frames; comparing each frame in the series to a template to determine changes in the image between frames; identifying a group of pixels in each frame associated with the changes; identifying changes as motion of the moving objects; correlating the pixel groups frame to frame to spatially determine at least one parameter of the motion of the objects; and correlating the pixel groups with a spectral reflectance profile associated with the at least one object wherein the track of the at least one object is distinguishable from the tracks of other moving objects.

Abstract: A method of communicating data between at least two coprocessors in a single computing environment wherein one of the coprocessors is a transmitting processor and the other of the coprocessors is a receiving processor and the single computing environment includes a memory accessible by the coprocessors includes, among other things, determining in the transmitting processor the size of data to be communicated, attaching the data to a message and transmitting the message to the receiving processor if the size of the data is below or equal to a predetermined threshold value, and transmitting to the receiving processor a pointer that points to a location of the data in the memory if the size of the data is above the predetermined threshold value.

Abstract: A method of removing a hyperspectral signature from at least one hyperspectral image, includes among other things, selecting a hyperspectral signature and determining a dissimilarity value between each pixel in the at least one hyperspectral image and the selected at least one hyperspectral signature. If the dissimilarity value between the signature of a given pixel in the at least one hyperspectral image and the selected at least one hyperspectral signature is less than a predetermined threshold value then the value of the signature for the given pixel is set to zero to create a signature-subtracted hyperspectral image.

Abstract: A method of removing stationary objects from hyperspectral imagery, includes among other things, collecting a series of hyperspectral images of a target scene; determining at least one first hyperspectral image having no moving or new objects in the target scene; selecting the at least one first hyperspectral image; determining at least one second hyperspectral image having moving objects in the target scene; and subtracting the at least one first hyperspectral image from the at least one second hyperspectral image to create a background-subtracted hyperspectral image.

Abstract: A method 10 of modeling hyperspectral images includes building a scene in a first frame with objects and materials using a three dimensional modeling tool 16, selecting one or more hyperspectral bands and changing the reflectivity of each object and material 20 in the scene to correspond to reflectivity in the hyperspectral bands, changing the emissivity of a spectral source 24 for each object and material in the scene to correspond to the emissivity of the spectral source in the hyperspectral bands, rendering the scene to generate a hyperspectral image 28, and repeating the process for subsequent frames 30.

Abstract: The invention relates a method of identifying a tracked object that has a known database of hyperspectral and spatial information. The method associates an identifier with the tracked object; selects a parameter associated with the hyperspectral or spatial information of the tracked object; detects a deviation in the selected parameter; compares the deviation with the database; and if the deviation exceeds a predetermined threshold, assigns a new identifier to the tracked object, and if the deviation does not exceed the predetermined threshold, continues tracking the tracked object.

Abstract: The invention relates to a method of evaluating the confidence of matching signatures of a hyperspectral image of at least one tracked object, defined by pixels on an image sensor, to a hyperspectral image template in real time while tracking the at least one tracked object.

Abstract: The invention relates to a method of selecting an algorithm for use in processing hyperspectral data from a set of algorithms, each having qualities for processing certain characteristics of hyperspectral data.

Abstract: A fail-safe assembly for an electronic or electrical component, device, system or apparatus with coacting operatively associated contacts has an impact member, normally maintained in a stressed and disengaged portion, and a meltable or fusible member for holding and for actuating the release of the impact member to guard against the danger of fire and damage due to current overload and/or unacceptable increases in the temperature in the current-carrying members for operating the coacting contacts or the ambient temperature for any reason and assures, on melting of the meltable or fusible member, that there are sufficient forces created to open and maintain the coacting contacts in the open position.

Abstract: A calibrated bimetallic actuator has contoured areas having either raised or recessed generally annular shaped forms about the locations thereon where the actuator is affixed in assembled position on associated electronic components or other devices or where a contact is affixed to the actuator to prevent loss of calibration by restricting transfer of force stresses in the bimetallic actuator during manufacture and assembly thereof into the associated components or devices. The action of the contoured areas on the actuator enables fabrication and assembly of miniaturized electronic components using bimetallic actuators for use in many applications.

Abstract: A calibrated bimetallic actuator has contoured areas having either raised or recessed generally annular shaped forms about the locations thereon where the actuator is affixed in assembled position on associated electronic components or other devices or where a contact is affixed to the actuator to prevent loss of calibration by restricting transfer of force stresses in the bimetallic actuator during manufacture and assembly thereof into the associated components or devices. The action of the contoured areas on the actuator enables fabrication and assembly of miniaturized electronic components using bimetallic actuators for use in many applications.