High performance remote sensing data analysis using parallel computationThis paper examines the JPL/Caltech parallel processing system designed for rapid processing and transfer of large quantities of data from remote sensing instruments flown on NASA missions. Two remote sensing analysis applications that use this processing system are described: (1) an analysis system for retrieval of atmospheric parameters (such as species abundance, atmospheric temperature, and water vapor profiles) from data obtained by a Fourier transform IR spectrometer and (2) a prototype airborne SAR processing system. It is shown that a parallel processing system such as the JPL/Caltech system can offer supercomputer computational capability and high-volume data throughput and still be cost-effective.
Document ID
19910030385
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Patterson, Jean E. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Ferraro, Robert D. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Sparks, Lawrence (JPL Pasadena, CA, United States)