Coherent radar images with statistically independent elements segmentation
B.M. Mironov, A.N. Malov

Irkutsk Higher Air Force Engineering School

Full text of article: Russian language.

Abstract:
Results of research of the segmentation algorithms on the basis of model of system with casual spasmodic structure in application to coherent radar images with statistically independent elements after speckle-noise smoothing on them by means of local spatial filtration methods efficiency are presented. The received characteristics allow estimating a segmentation error at the radar parameters set and a spreading surface, to compare errors at performance of a preliminary filtration and without its performance.

Key words:
algorithm, probability, images, coherency, accumulation, a radar-location, distribution, smoothing, segmentation, speckle, filtration.

Citation: Mironov BM, Malov AN. Coherent radar images with statistically independent elements segmentation. Computer Optics 2008; 32(4): 423-7.

References:

  1. Frost VS. A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. Pattern Anal. Machine Intell 1982; 4(2): 157-165.
  2. Belokurov AA. Speckle noise smoothing methods on radar images of the Earth’s surface [In Russian]. Zarubezhnaya Radioelektronika (Foreign Radio Engineering) 1990; 6: 26-35.
  3. Zelenskiy AA, et al. Two-stage multichannel radar image processing using vector sigma filter [In Russian].  Telecommunications and Radio Engineering 2003; 11: 55-62.
  4. Lee JS. Speckle analysis and smoothing of synthetic aperture radar images. Computer Graphics and Image Processing 1981; 17(1): 24-32.
  5. Skripnik ON, Lezhankin BV, Malov AN, Mironov BM, Galliev CF. Formation of spreading surface classification map on coherent radar images [In Russian]. Computer Optics 2006; 29: 151-159.
  6. Malov AN, Mironov BM, Kuznetsov VA. Extraction of small-size objects by segmentation algorithms using a model of the system with abruptly changing random structure [In Russian]. Computer Optics 2008; 32(1): 89-92.
  7. Zaitsev VV, Troshkin DV. Experimental study of speckle-noise filtering algorithms for radar images. Earth Observation and Remote Sensing. 1995;12:831–846.
  8. Franson M. Speckle optics [Russian translation]. Moscow: “Mir” Publisher 1980; 171 p.

© 2009, ИСОИ РАН
Россия, 443001, Самара, ул. Молодогвардейская, 151; электронная почта: ko@smr.ru ; тел: +7 (846) 332-56-22, факс: +7 (846 2) 332-56-20