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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Print: 0040-2508
ISSN Online: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v66.i12.90
pages 1123-1131

Damaged Forests: Detection Using Airborne SAR Images

V. K. Ivanov
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine 12, Academician Proskura St., 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.


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