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Information Journal Paper

Title

ESTIMATING THE ALPHA-STABLE DISTRIBUTION PARAMETERS FOR SHIP DETECTION IN POLARIMETRIC SAR IMAGES

Pages

  21-30

Keywords

CONSTANT FALSE ALARM RATE (CFAR)Q2

Abstract

 In synthetic aperture radar (SAR) imagery, ship-sea contrast can be significantly improved when the polarimetric information is used, compared with information from a single channel SAR. The constant false alarm rate (CFAR) detection algorithm based on the alpha-stable (AS) distribution model is a descent method for SHIP DETECTION in sea. The most important step in this method is the parameter estimation of the AS probability density function for which the METHOD OF LOG-CUMULANTS (MoLC) parameter estimation is proposed and utilized in this study. Evaluation results of the proposed method on two L- and C-band polarimetric SAR (PolSAR) datasets which are acquired by AIRSAR and RADARSAT-2 sensors confirm the accuracy of the method. Experimental results show that the best results of detection maps are achieved when the polarimetric span and entropy data are used where a high detection accuracy in the latter cases are along with a low number of false alarms.

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  • Cite

    APA: Copy

    GHANBARY, M., & KHAZAEI, S.. (2015). ESTIMATING THE ALPHA-STABLE DISTRIBUTION PARAMETERS FOR SHIP DETECTION IN POLARIMETRIC SAR IMAGES. JOURNAL OF RADAR, 3(3 (SERIAL NO. 9)), 21-30. SID. https://sid.ir/paper/244179/en

    Vancouver: Copy

    GHANBARY M., KHAZAEI S.. ESTIMATING THE ALPHA-STABLE DISTRIBUTION PARAMETERS FOR SHIP DETECTION IN POLARIMETRIC SAR IMAGES. JOURNAL OF RADAR[Internet]. 2015;3(3 (SERIAL NO. 9)):21-30. Available from: https://sid.ir/paper/244179/en

    IEEE: Copy

    M. GHANBARY, and S. KHAZAEI, “ESTIMATING THE ALPHA-STABLE DISTRIBUTION PARAMETERS FOR SHIP DETECTION IN POLARIMETRIC SAR IMAGES,” JOURNAL OF RADAR, vol. 3, no. 3 (SERIAL NO. 9), pp. 21–30, 2015, [Online]. Available: https://sid.ir/paper/244179/en

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