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  • 1
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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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  • 2
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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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  • 3
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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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  • 4
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    A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation (2014)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Acquiring current, accurate land-use information is critical for monitoring and understanding the impact of anthropogenic activities on natural environments.Remote sensing technologies are of increasing importance because of their capability to acquire information for large areas in a timely manner, enabling decision makers to be more effective in complex environments. Although optical imagery has demonstrated to be successful for land cover classification, active sensors, such as light detection and ranging (LiDAR), have distinct capabilities that can be exploited to improve classification results. However, utilization of LiDAR data for land cover classification has not been fully exploited. Moreover, spatial-spectral classification has recently gained significant attention since classification accuracy can be improved by extracting additional information from the neighboring pixels. Although spatial information has been widely used for spectral data, less attention has been given to LiDARdata. In this work, a new framework for land cover classification using discrete return LiDAR data is proposed. Pseudo-waveforms are generated from the LiDAR data and processed by hierarchical segmentation. Spatial featuresare extracted in a region-based way using a new unsupervised strategy for multiple pruning of the segmentation hierarchy. The proposed framework is validated experimentally on a real dataset acquired in an urban area. Better classification results are exhibited by the proposed framework compared to the cases in which basic LiDAR products such as digital surface model and intensity image are used. Moreover, the proposed region-based feature extraction strategy results in improved classification accuracies in comparison with a more traditional window-based approach.
    Keywords: Computer Programming and Software; Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN17828 , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing; 7; 2; 491-502
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  • 5
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    Incorporating Edge Information into Best Merge Region-Growing Segmentation (2014)
    In:  CASI
    Details
    Publication Date: 2019-08-13
    Description: We have previously developed a best merge region-growing approach that integrates nonadjacent region object aggregation with the neighboring region merge process usually employed in region growing segmentation approaches. This approach has been named HSeg, because it provides a hierarchical set of image segmentation results. Up to this point, HSeg considered only global region feature information in the region growing decision process. We present here three new versions of HSeg that include local edge information into the region growing decision process at different levels of rigor. We then compare the effectiveness and processing times of these new versions HSeg with each other and with the original version of HSeg.
    Keywords: Computer Programming and Software; Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN15579 , Canadian Symposium on Remote Sensing; Jul 13, 2014 - Jul 18, 2014; Quebec City; Canada|Joint International Geoscience & Remote Sensing Symposium (IGARSS 2014; Jul 13, 2014 - Jul 18, 2014; Quebec City; Canada
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  • 6
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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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  • 7
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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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  • 8
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    Space and Earth Science Data Compression Workshop (1991)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The workshop explored opportunities for data compression to enhance the collection and analysis of space and Earth science data. The focus was on scientists' data requirements, as well as constraints imposed by the data collection, transmission, distribution, and archival systems. The workshop consisted of several invited papers; two described information systems for space and Earth science data, four depicted analysis scenarios for extracting information of scientific interest from data collected by Earth orbiting and deep space platforms, and a final one was a general tutorial on image data compression.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CP-3130 , REPT-91B00149 , NAS 1.55:3130 , Apr 11, 1991; Snowbird, UT; United States
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