Title :
Hyper-spectral image processing applications on the SIMD Pixel Processor for the digital battlefield
Author :
Chai, Sek M. ; Gentile, Antonio ; Lugo-Beauchamp, Wilfredo E. ; Cruz-Rivera, José L. ; Wills, D. Scott
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Future military scenarios will rely on advanced imaging sensor technology beyond the visible spectrum to gain total battlefield awareness. Real-time processing of these data streams requires tremendous computational workloads and I/O throughputs. This paper presents three applications for hyper-spectral data streams, vector quantization, region autofocus, and K-means clustering, on the SIMD Pixel Processor (SIMPil). In SIMPil, an image sensor array (focal plane) is integrated on top of a SIMD computing layer to provide direct coupling between sensors and processors, alleviating I/O bandwidth bottlenecks while maintaining low power consumption and portability. Simulation results with sustained operation throughputs of 500-1500 Gops/sec support real-time performance and promote focal plane processing on SIMPil
Keywords :
image processing; image sensors; military computing; object detection; parallel machines; real-time systems; vector quantisation; K-means clustering; SIMD Pixel Processor; SIMPil; computational workloads; digital battlefield; focal plane; hyperspectral image processing; image sensor array; imaging sensor; input output bandwidth bottlenecks; low power consumption; military; portability; real-time processing; region autofocus; simulation; vector quantization; visible spectrum; Bandwidth; Image processing; Image sensors; Military computing; Optical imaging; Pixel; Sensor arrays; Streaming media; Throughput; Vector quantization;
Conference_Titel :
Computer Vision Beyond the Visible Spectrum: Methods and Applications, 1999. (CVBVS '99) Proceedings. IEEE Workshop on
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0050-1
DOI :
10.1109/CVBVS.1999.781102
