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  • 1
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    Applications of the massively parallel machine, the MasPar MP-1, to Earth sciences (1991)
    In:  Other Sources
    Details
    Publication Date: 2011-08-24
    Description: The computational workload of upcoming NASA science missions, especially the ground data processing for the Earth Observing System, is projected to be quite large (in the 50 to 100 gigaFLOPS range) and corespondingly very expensive to perform using conventional supercomputer systems. High performance, general purpose massively parallel computer systems such as the MasPar MP-1 are being investigated by NASA as a more cost effective alternative. Massively parallel systems are targeted for accelerated development and maturation by NASA's upcoming five-year High Performance Computing and Communications Program. A summary of the broad range of applications currently running on the MP-1 at NASA/Goddard are presented in this paper along with descriptions of the parallel algorithmic techniques employed in five applications that have bearing on Earth sciences.
    Keywords: COMPUTER SYSTEMS
    Type: In: Earth and atmospheric remote sensing; Proceedings of the Meeting, Orlando, FL, Apr. 2-4, 1991 (A93-24176 08-42); p. 229-238.
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  • 2
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    Image segmentation by iterative parallel region growing with application to data compression and image analysis (1988)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: Image segmentation can be a key step in data compression and image analysis. However, the segmentation results produced by most previous approaches to region growing are suspect because they depend on the order in which portions of the image are processed. An iterative parallel segmentation algorithm avoids this problem by performing globally best merges first. Such a segmentation approach, and two implementations of the approach on NASA's Massively Parallel Processor (MPP) are described. Application of the segmentation approach to data compression and image analysis is then described, and results of such application are given for a LANDSAT Thematic Mapper image.
    Keywords: COMPUTER SYSTEMS
    Type: The 2nd Symposium on the Frontiers of Massively Parallel Computations; p 357-360
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  • 3
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    Planning/scheduling techniques for VQ-based image compression (1994)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: The enormous size of the data holding and the complexity of the information system resulting from the EOS system pose several challenges to computer scientists, one of which is data archival and dissemination. More than ninety percent of the data holdings of NASA is in the form of images which will be accessed by users across the computer networks. Accessing the image data in its full resolution creates data traffic problems. Image browsing using a lossy compression reduces this data traffic, as well as storage by factor of 30-40. Of the several image compression techniques, VQ is most appropriate for this application since the decompression of the VQ compressed images is a table lookup process which makes minimal additional demands on the user's computational resources. Lossy compression of image data needs expert level knowledge in general and is not straightforward to use. This is especially true in the case of VQ. It involves the selection of appropriate codebooks for a given data set and vector dimensions for each compression ratio, etc. A planning and scheduling system is described for using the VQ compression technique in the data access and ingest of raw satellite data.
    Keywords: COMPUTER SYSTEMS
    Type: 1994 Science Information Management and Data Compression Workshop; p 95-104
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  • 4
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    Radiometric resolution enhancement by lossy compression as compared to truncation followed by lossless compression (1994)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: Recent advances in imaging technology make it possible to obtain imagery data of the Earth at high spatial, spectral and radiometric resolutions from Earth orbiting satellites. The rate at which the data is collected from these satellites can far exceed the channel capacity of the data downlink. Reducing the data rate to within the channel capacity can often require painful trade-offs in which certain scientific returns are sacrificed for the sake of others. In this paper we model the radiometric version of this form of lossy compression by dropping a specified number of least significant bits from each data pixel and compressing the remaining bits using an appropriate lossless compression technique. We call this approach 'truncation followed by lossless compression' or TLLC. We compare the TLLC approach with applying a lossy compression technique to the data for reducing the data rate to the channel capacity, and demonstrate that each of three different lossy compression techniques (JPEG/DCT, VQ and Model-Based VQ) give a better effective radiometric resolution than TLLC for a given channel rate.
    Keywords: COMPUTER SYSTEMS
    Type: 1994 Science Information Management and Data Compression Workshop; p 27-39
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  • 5
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    Progressive Vector Quantization on a massively parallel SIMD machine with application to multispectral image data (1994)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A progressive vector quantization (VQ) compression approach is discussed which decomposes image data into a number of levels using full search VQ. The final level is losslessly compressed, enabling lossless reconstruction. The computational difficulties are addressed by implementation on a massively parallel SIMD machine. We demonstrate progressive VQ on multispectral imagery obtained from the Advanced Very High Resolution Radiometer instrument and other Earth observation image data, and investigate the trade-offs in selecting the number of decomposition levels and codebook training method.
    Keywords: COMPUTER SYSTEMS
    Type: NASA-TM-111110 , NAS 1.15:111110
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  • 6
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    1994 Science Information Management and Data Compression Workshop (1994)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This document is the proceedings from the 'Science Information Management and Data Compression Workshop,' which was held on September 26-27, 1994, at the NASA Goddard Space Flight Center, Greenbelt, Maryland. The Workshop explored promising computational approaches for handling the collection, ingestion, archival and retrieval of large quantities of data in future Earth and space science missions. It consisted of eleven presentations covering a range of information management and data compression approaches that are being or have been integrated into actual or prototypical Earth or space science data information systems, or that hold promise for such an application. The workshop was organized by James C. Tilton and Robert F. Cromp of the NASA Goddard Space Flight Center.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CP-3277 , REPT-94B00116 , NAS 1.55:3277 , Sep 26, 1994 - Sep 27, 1994; Greenbelt, MD; United States
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  • 7
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    The 1995 Science Information Management and Data Compression Workshop (1995)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This document is the proceedings from the 'Science Information Management and Data Compression Workshop,' which was held on October 26-27, 1995, at the NASA Goddard Space Flight Center, Greenbelt, Maryland. The Workshop explored promising computational approaches for handling the collection, ingestion, archival, and retrieval of large quantities of data in future Earth and space science missions. It consisted of fourteen presentations covering a range of information management and data compression approaches that are being or have been integrated into actual or prototypical Earth or space science data information systems, or that hold promise for such an application. The Workshop was organized by James C. Tilton and Robert F. Cromp of the NASA Goddard Space Flight Center.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CP-3315 , NAS 1.55:3315 , REPT-95B00134 , NIPS-95-05283 , Oct 26, 1995 - Oct 27, 1995; Greenbelt, MD; United States
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  • 8
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    The 1994 Space and Earth Science Data Compression Workshop (1994)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This document is the proceedings from the fourth annual 'Space and Earth Science Data Compression Workshop,' which was held on April 2, 1994, at the University of Utah in Salt Lake City, Utah. This workshop was held in cooperation with the 1994 Data Compression Conference, which was held at Snowbird, Utah, March 29-31 1994. The Workshop explored opportunities for data compression to enhance the collection and analysis of space and Earth science data. It consisted of 13 papers presented in 4 sessions. The papers focus on data compression research that is integrated into, or has the potential to be integrated into, a particular space and/or Earth science data information system. Presenters were encouraged to take into account the scientist's data requirements, and the constraints imposed by the data collection, transmission, distribution, and archival system.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CP-3255 , REPT-94B00043 , NAS 1.55:3255 , Apr 02, 1994; Salt Lake City, UT; United States
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  • 9
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    The Space and Earth Science Data Compression Workshop (1993)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This document is the proceedings from a Space and Earth Science Data Compression Workshop, which was held on March 27, 1992, at the Snowbird Conference Center in Snowbird, Utah. This workshop was held in conjunction with the 1992 Data Compression Conference (DCC '92), which was held at the same location, March 24-26, 1992. The workshop explored opportunities for data compression to enhance the collection and analysis of space and Earth science data. The workshop consisted of eleven papers presented in four sessions. These papers describe research that is integrated into, or has the potential of being integrated into, a particular space and/or Earth science data information system. Presenters were encouraged to take into account the scientists's data requirements, and the constraints imposed by the data collection, transmission, distribution, and archival system.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CP-3183 , NAS 1.55:3183 , Mar 27, 1992; Snowbird, UT; United States
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  • 10
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    The 1993 Space and Earth Science Data Compression Workshop (1993)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The Earth Observing System Data and Information System (EOSDIS) is described in terms of its data volume, data rate, and data distribution requirements. Opportunities for data compression in EOSDIS are discussed.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CP-3191 , REPT-93B00034 , NAS 1.55:3191 , Apr 02, 1993; Snowbird, UT; United States
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