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  • 1
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    Landsat image registration for agricultural applications (1982)
    In:  Other Sources
    Details
    Publication Date: 2019-06-28
    Description: An image registration system has been developed at the NASA Johnson Space Center (JSC) to spatially align multi-temporal Landsat acquisitions for use in agriculture and forestry research. Working in conjunction with the Master Data Processor (MDP) at the Goddard Space Flight Center, it functionally replaces the long-standing LACIE Registration Processor as JSC's data supplier. The system represents an expansion of the techniques developed for the MDP and LACIE Registration Processor, and it utilizes the experience gained in an IBM/JSC effort evaluating the performance of the latter. These techniques are discussed in detail. Several tests were developed to evaluate the registration performance of the system. The results indicate that 1/15-pixel accuracy (about 4m for Landsat MSS) is achievable in ideal circumstances, sub-pixel accuracy (often to 0.2 pixel or better) was attained on a representative set of U.S. acquisitions, and a success rate commensurate with the LACIE Registration Processor was realized. The system has been employed in a production mode on U.S. and foreign data, and a performance similar to the earlier tests has been noted.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Format: text
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    NASA TECHNICAL REPORTS
  • 2
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    Minimum distance classification in remote sensing (1972)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The utilization of minimum distance classification methods in remote sensing problems, such as crop species identification, is considered. Literature concerning both minimum distance classification problems and distance measures is reviewed. Experimental results are presented for several examples. The objective of these examples is to: (a) compare the sample classification accuracy of a minimum distance classifier, with the vector classification accuracy of a maximum likelihood classifier, and (b) compare the accuracy of a parametric minimum distance classifier with that of a nonparametric one. Results show the minimum distance classifier performance is 5% to 10% better than that of the maximum likelihood classifier. The nonparametric classifier is only slightly better than the parametric version.
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: NASA-CR-130030 , LARS-PRINT-030772 , Can. Symp. for Remote Sensing; Feb 07, 1972 - Feb 09, 1972; Ottawa; Cananda
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    The minimum distance approach to classification (1971)
    In:  CASI
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    Publication Date: 2019-06-27
    Description: The work to advance the state-of-the-art of miminum distance classification is reportd. This is accomplished through a combination of theoretical and comprehensive experimental investigations based on multispectral scanner data. A survey of the literature for suitable distance measures was conducted and the results of this survey are presented. It is shown that minimum distance classification, using density estimators and Kullback-Leibler numbers as the distance measure, is equivalent to a form of maximum likelihood sample classification. It is also shown that for the parametric case, minimum distance classification is equivalent to nearest neighbor classification in the parameter space.
    Keywords: MATHEMATICS
    Type: NASA-CR-133796 , TR-EE-71-37 , LARS-INFORM-NOTE-100771
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 4
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    Landsat image registration - A study of system parameters (1984)
    In:  Other Sources
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    Publication Date: 2019-07-13
    Description: Some applications of Landsat data, particularily agricultural and forestry applications, require the ability to geometrically superimpose or register data acquired at different times and possibly by different satellites. An experimental investigation relating to a registration processor used by the Johnson Space Center for this purpose is the subject of this paper. Correlation of small subareas of images is at the heart of this registration processor and the manner in which various system parameters affect the correlation process is the prime area of investigation. Parameters investigated include preprocessing methods, methods for detecting sucessful correlations, fitting a surface to the correlation patch, fraction of pixels designated as edge pixels in edge detection adn local versus global generation of edge images. A suboptimum search procedure is used to find a good parameter set for this registration processor.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Symposium on Remote Sensing of Environment; May 09, 1983 - May 13, 1983; Ann Arbor, MI
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    NASA TECHNICAL REPORTS
  • 5
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    Measuring bacterial activity and community composition at high hydrostatic pressure using a novel experimental approach: a pilot study (2015)
    Oxford University Press
    In:  Fems Microbiology Ecology, 91 (5). fiv036-fiv036.
    Details
    Publication Date: 2020-07-31
    Description: In this pilot study, we describe a high-pressure incubation system allowing multiple subsampling of a pressurized culture without decompression. The system was tested using one piezophilic (Photobacterium profundum), one piezotolerant (Colwellia maris) bacterial strain and a decompressed sample from the Mediterranean deep sea (3044 m) determining bacterial community composition, protein production (BPP) and cell multiplication rates (BCM) up to 27 MPa. The results showed elevation of BPP at high pressure was by a factor of 1.5 ± 1.4 and 3.9 ± 2.3 for P. profundum and C. maris, respectively, compared to ambient-pressure treatments and by a factor of 6.9 ± 3.8 fold in the field samples. In P. profundum and C. maris, BCM at high pressure was elevated (3.1 ± 1.5 and 2.9 ± 1.7 fold, respectively) compared to the ambient-pressure treatments. After 3 days of incubation at 27 MPa, the natural bacterial deep-sea community was dominated by one phylum of the genus Exiguobacterium, indicating the rapid selection of piezotolerant bacteria. In future studies, our novel incubation system could be part of an isopiestic pressure chain, allowing more accurate measurement of bacterial activity rates which is important both for modeling and for predicting the efficiency of the oceanic carbon pump.
    Type: Article , PeerReviewed
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    PAPER (OCEANREP)
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