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Telecommunications and Radio Engineering

 

ISSN for PRINT: 0040-2508

Institutional price:

$4518.00

Issues per year:

20

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2006, Volume65

Issue 1-5

  472 pages  

DOI: 10.1615/TelecomRadEng.v65.i1   

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  • Statistical Characteristics of Soil in Remote Sensing Applications
  • G. P. Kulemin
    A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine

    V. A. Kirichenko
    A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura Str., Kharkiv 61085, Ukraine

    Yu. F. Logvinov
    A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura St., Kharkov 61085, Ukraine


    ABSTRACT

    Some specific evidence from contact measurements of surface roughness parameters of farming land that has undergone a variety of mechanical cultivation. It is shown that the fractal description of rough surfaces opens up new avenues for tackling remote sensing problems. A huge amount of experimental data clearly indicates that both for rough and smooth surface the ACF (autocorrelation function) exponential and Gaussian approximations respectively are found to be the most suitable.

    DOI: 10.1615/TelecomRadEng.v65.i1.20

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