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Electronic Data Center

Telecommunications and Radio Engineering

 

ISSN for PRINT: 0040-2508

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$4518.00

Issues per year:

20

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2007, Volume66

Issue 12

  92 pages  

DOI: 10.1615/TelecomRadEng.v66.i12   

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  • Damaged Forests: Detection Using Airborne SAR Images
  • V. K. Ivanov
    A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12, Academician Proskura Str., Kharkiv 61085, Ukraine

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

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

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


    ABSTRACT

    A method based on the analysis of fractal dimensions of airborne radar images is proposed to detect forests damages and to classify them by the origin. It includes creating of fractal index field of the image and analyzing of its histogram. Key components in the analysis of airborne microwave SAR images of vegetation are understanding of the fractal dimensions of the images parts and choosing of the range of variation of fractal dimensions for further image segmentation.

    DOI: 10.1615/TelecomRadEng.v66.i12.90

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