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Focal-plane processing architectures for real-time hyperspectral image processing
- Source :
- Applied Optics. Feb 10, 2000, Vol. 39 Issue 5, 835
- Publication Year :
- 2000
-
Abstract
- Real-time image processing requires high computational and I/O throughputs obtained by use of optoelectronic system solutions. A novel architecture that uses focal-plane optoelectronic-area I/O with a fine-grain, low-memory, single-instruction-multiple-data (SIMD) processor array is presented as an efficient computational solution for real-time hyperspectral image processing. The architecture is evaluated by use of realistic workloads to determine data throughputs, processing demands, and storage requirements. We show that traditional store-and-process system performance is inadequate for this application domain, whereas the focal-plane SIMD architecture is capable of supporting real-time performances with sustained operation throughputs of 500-1500 gigaoperations/s. The focal-plane architecture exploits the direct coupling between sensor and parallel-processor arrays to alleviate data-bandwidth requirements, allowing computation to be performed in a stream-parallel computation model, while data arrive from the sensors. [C] 2000 Optical Society of America OCIS codes: 100.0100, 110.0110, 100.2000, 100.2550.
Details
- ISSN :
- 1559128X
- Volume :
- 39
- Issue :
- 5
- Database :
- Gale General OneFile
- Journal :
- Applied Optics
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.61692836