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Computer and Systems Architecture Commons™
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Full-Text Articles in Computer and Systems Architecture
Image And Information Fusion Experiments With A Software-Defined Multi-Spectral Imaging System For Aviation And Marine Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Ramnarayan Krishnamurthy, Surjith B. Singh, Akshay K. Singh, Shivasankar Gunasekaran
Image And Information Fusion Experiments With A Software-Defined Multi-Spectral Imaging System For Aviation And Marine Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Ramnarayan Krishnamurthy, Surjith B. Singh, Akshay K. Singh, Shivasankar Gunasekaran
Publications
The availability of Internet, line-of-sight and satellite identification and surveillance information as well as low-power, low-cost embedded systems-on-a-chip and a wide range of visible to long-wave infrared cameras prompted Embry Riddle Aeronautical University to collaborate with the University of Alaska Arctic Domain Awareness Center (ADAC) in summer 2016 to prototype a camera system we call the SDMSI (Software-Defined Multi-spectral Imager). The concept for the camera system from the start has been to build a sensor node that is drop-in-place for simple roof, marine, pole-mount, or buoy-mounts. After several years of component testing, the integrated SDMSI is now being tested, first …
Software Defined Multi-Spectral Imaging For Arctic Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Vivek Angoth, Karthikeyan Mani, Kenrick Mock, Surjith B. Singh, Saurav Srivistava, Chris Wagner
Software Defined Multi-Spectral Imaging For Arctic Sensor Networks, Sam B. Siewert, Matthew Demi Vis, Ryan Claus, Vivek Angoth, Karthikeyan Mani, Kenrick Mock, Surjith B. Singh, Saurav Srivistava, Chris Wagner
Publications
Availability of off-the-shelf infrared sensors combined with high definition visible cameras has made possible the construction of a Software Defined Multi-Spectral Imager (SDMSI) combining long-wave, near-infrared and visible imaging. The SDMSI requires a real-time embedded processor to fuse images and to create real-time depth maps for opportunistic uplink in sensor networks. Researchers at Embry Riddle Aeronautical University working with University of Alaska Anchorage at the Arctic Domain Awareness Center and the University of Colorado Boulder have built several versions of a low-cost drop-in-place SDMSI to test alternatives for power efficient image fusion. The SDMSI is intended for use in field …