Hyper-Spectral and Hyper-Spatial Search, Track and Recognition Sensor
A hyper-spectral and hyper-spatial sensor system is disclosed. A micro-channel plate array imaging sensor is provided for imaging a scene of interest and cooperates with a passive imaging system which may comprise a system having a responsivity to the visible electromagnetic spectrum. Image data from the dual-sensor systems is received and processed at high processing speeds using a massively parallel image processing architecture for the detection of salient scene features in the scene.
1 . A sensor system comprising:
at least one passive sensor configured for imaging a scene of interest and outputting a passive sensor output representative of the scene,
a hyper-spectral imaging system configured for imaging the scene and outputting a hyper-spectral output representative of the scene,
an electronic synapse array configured to execute at least one algorithm for identifying a predefined feature in the scene in a combined set of passive sensor output data and hyper-spectral output data.
2 . The system of claim 1 wherein the array comprises a plurality of electronic neurons each comprising at least one synapse connection, multiplication and addition circuit means, and storage means for storing and outputting a plurality of changing synapse weight inputs.
3 . The system of claim 1 wherein selected ones of the synapses have a time-dependent connectivity with selected other ones of the synapses by means of at least one time-dependent reconfigurable connection.
4 . The system, of claim 1 wherein at the least one passive sensor is selected from the group comprising a passive sensor having a responsivity to the visible electromagnetic spectrum, a passive sensor having a responsivity to the long wave infrared electromagnetic spectrum, a passive sensor having a responsivity to the short wave infrared electromagnetic spectrum, a passive sensor having a responsivity to the near-infrared electromagnetic spectrum and a passive sensor having a responsivity to the ultra-violet electromagnetic spectrum.
5 . The system of claim 1 further comprising an imaging sensor comprising a stack of layer's wherein the layers comprise a micro-lens array layer comprising at least one individual lens element configured for providing a beam output,
a photocathode layer configured for generating a photocathode electron output in response to a predetermined range of the electromagnetic spectrum,
a micro-channel plate layer comprising at least one micro-channel for generating a cascaded electron output in response to the photocathode electron output and,
a readout circuit layer for processing the output of the micro-channel.
6 . The system of claim 1 further comprising a cognitive sensor circuit comprising a first supertile and a second supertile,
the first and second supertiles comprising a plurality of tiles and comprising a supertile processor, supertile memory and a supertile look up table,
the first supertile in electronic communication with the second supertile,
the tiles comprising a plurality of cells and comprising a tile processor, tile memory and a file look up table,
selected ones of the tiles having a plurality of tile mesh outputs in electronic communication with an E, W, N and S neighboring tile of each of the selected tiles and with a supertile processor.
7 . The system of claim 6 wherein the cells further comprise dedicated image memory and dedicated weight memory and convolution circuit means for performing a convolution kernel mask operation on an image data set representative of the scene, and,
wherein selected ones of the cells having a plurality of cell mesh outputs in electronic communication with an E, W, N and S neighboring cell of the selected cells and a tile processor, and,
root processor circuit means for managing electronic communication between the cell mesh outputs, said tile mesh outputs or the supertile mesh outputs.
8 . A sensor system comprising:
a first sensor configured for imaging a scene of interest and outputting a first sensor output representative of the scene,
a second sensor configured for imaging the scene of interest and outputting a second output representative of the scene, and,
an electronic synapse array configured to execute at least one algorithm for identifying a predefined feature in the scene in a combined set of first sensor output data and second output data.
9 . The system of claim 8 wherein the array comprises a plurality of electronic neurons each comprising at least one synapse connection, multiplication and addition circuit means, and storage means for storing and outputting a plurality of changing synapse weight inputs.
10 . The system of claim 8 wherein selected ones of the synapses have a time-dependent connectivity with selected other ones of the synapses by means of at least one time-dependent reconfigurable connection.
11 . The system of claim 8 further wherein at least one of the first or second sensors comprises a stack of layers wherein the layers comprise a micro-lens array layer comprising at least one individual lens element configured for providing a beam output,
a photocathode layer configured for generating a photocathode electron output in response to a predetermined range of the electromagnetic spectrum,
a micro-channel plate layer comprising at least one micro-channel for generating a cascaded electron output in response to the photocathode electron output, and,
a readout circuit layer for processing the output of the micro-channel.
12 . The system of claim 8 further comprising a cognitive sensor circuit comprising a first supertile and a second supertile,
the first and second supertiles comprising a plurality of tiles and comprising a supertile processor, supertile memory and a supertile look up table,
the first supertile in electronic communication with the second supertile,
the tiles comprising a plurality of cells and comprising a tile processor, tile memory and a tile look up table, and,
selected ones of the tiles having a plurality of tile mesh outputs in electronic communication with an E, W, N and S neighboring tile of each of the selected tiles and with a supertile processor.
13 . The system of claim 12 wherein the cells further comprise dedicated image memory and dedicated weight memory and convolution circuit means for performing a convolution kernel mask operation on an image data set representative of the scene, and,
wherein selected ones of the cells having a plurality of cell mesh outputs in electronic communication with an E, W, N and S neighboring cell of the selected cells and a tile processor, and,
root processor circuit means for managing electronic communication between the cell mesh outputs, said tile mesh outputs or the supertile mesh outputs.