CCD data processor for maximum likelihood feature classificationThe paper describes an advanced technology development which utilizes a high speed analog/binary CCD correlator to perform the matrix multiplications necessary to implement onboard feature classification. The matrix manipulation module uses the maximum likelihood classification algorithm assuming a Gaussian probability density function. The module will process 16 element multispectral vectors at rates in excess of 500 thousand multispectral vector elements per second. System design considerations for the optimum use of this module are discussed, test results from initial device fabrication runs are presented, and the performance in typical processing applications is described
Document ID
19810028971
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Benz, H. F. (NASA Langley Research Center Hampton, VA, United States)
Kelly, W. L. (NASA Langley Research Center Hampton, Va., United States)
Husson, C. (NASA Langley Research Center Hampton, VA, United States)
Culotta, P. W. (NASA Langley Research Center Hampton, VA, United States)
Snyder, W. E. (NASA Langley Research Center Hampton, VA, United States)