Engineering topics
Publications and source records attributed to Lynch, T. J..
Image data compression schemes are discussed with regard to achieving maximum compression ratio. It is demonstrated that the compression ratio must be traded-off against the allowable residual distortion in the reconstructed image.
The overall Landsat-D system is discussed with emphasis on the objectives, configuration, and capabilities of the Landsat-D Assessment System. This system is being developed to support investigations which demonstrate, evaluate, and assess the utility of Landsat-D data for a wide variety of earth observations applications.
Two characteristics of remote sensing - data volume and information volatility - are discussed. Emphasis is placed on the NASA Applications Data Service and Remotely Piloted Vehicle (RPV) television. It is noted that the data volume and information volatility in a given remote sensing system require a careful choice of the point in the end-to-end system at which data compression and/or information extraction take place.
The present plans for the Landsat-D ground data handling are described in relationship to the mission objectives and the planned spacecraft system. The end-to-end data system is presented with particular emphasis on the data handling plans for the new instrument, the Thematic Mapper. This instrument generates ten times the amount of data per scene as the present Multispectral Scanner and this resulting data rate and volume are discussed as well as possible new data techniques to handle them - such as image compression.
The present plans for the LANDSAT D ground data handling are described in relationship to the mission objectives and the planned spacecraft system. The end to end data system is presented with particular emphasis on the data handling plans for the new instrument, the Thematic Mapper. This instrument generates ten times the amount of data per scene as the present Multispectral Scanner, and this resulting data rate and volume are discussed as well as possible new data techniques to handle them such as image compression.
The requirements, design, implementation, and flight performance of an on-board image compression system for the lunar orbiting Radio Astronomy Explorer-2 (RAE-2) spacecraft are described. The image to be compressed is a panoramic camera view of the long radio astronomy antenna booms used for gravity-gradient stabilization of the spacecraft. A compression ratio of 32 to 1 is obtained by a combination of scan line skipping and adaptive run-length coding. The compressed imagery data are convolutionally encoded for error protection. This image compression system occupies about 1000 cu cm and consumes 0.4 W.
The Lynch-Davisson (L-D) code is shown to be efficient for compressing line-scanned weather charts wherein each line is divided into equal-length segments, and a separate L-D code is generated for each segment. As the number of segments increases, the L-D code length decreases appreciably, thereby simplifying the encoding and decoding operations. However, the accompanying decrease in the overall compression ratio is relatively small.
Convolutional encoding and decoding developments, and applications in deep space communication
Nationwide man machine remote employment/personal services system including synchronous communication satellite, information and control network and remote terminals
Computation method for probability of straight line sequence from uniform data sample sources, noting constraints due to compression algorithm
Data compression and error control coding in space telemetry analyzed, using performance measures similar to distortion function
Data compression with error-control coding for space telemetry
Derivation of simple formula for ionospheric Faraday rotation at frequencies above 100 Mc/s starting from Maxwell equations
Pathcount and coding matrices for sequence time encoding and decoding for data compression
Data processing system including acquisition, handling, and final analysis for magnetic tapes for computer program of tracking station data at Goddard Space Flight Center