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Ji, Kefeng; Xing, Xiangwei; Zou, Huanxin; Sun, Jixiang (2015)
Publisher: Hindawi Publishing Corporation
Journal: Journal of Sensors
Languages: English
Types: Article
Subjects: Technology (General), T1-995, Article Subject
When applying the constant false alarm rate (CFAR) detector to ship detection on synthetic aperture radar (SAR) imagery, multiple interferers such as upwelling, breaking waves, ambiguities, and neighboring ships in a dense traffic area will degrade the probability of detection. In this paper, we propose a novel variable index and excision CFAR (VIE-CFAR) based ship detection method to alleviate the masking effect of multiple interferers. Firstly, we improve the variable index (VI) CFAR with an excision procedure, which censors the multiple interferers from the reference cells. And then, the paper integrates the novel CFAR concept into a ship detection scheme on SAR imagery, which adopts the VIE-CFAR to screen reference cells and the distribution to derive detection threshold. Finally, we analyze the performances of the VIE-CFAR under different environments and validate the proposed method on both ENVISAT and TerraSAR-X SAR data. The results demonstrate that the proposed method outperforms other existing detectors, especially in the presence of multiple interferers.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Margarit, G., Mallorqui, J. J., Rius, J. M., Sanz-Marcos, J.. On the usage of GRECOSAR, an orbital polarimetric SAR simulator of complex targets, to vessel classification studies. IEEE Transactions on Geoscience and Remote Sensing. 2006; 44 (12): 3517-3525
    • Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., Papathanassiou, K. P.. A tutorial on synthetic aperture radar. IEEE Geoscience and Remote Sensing Magazine. 2013; 1 (1): 6-43
    • Crisp, D.. The State-of-the-Art in ship detection in synthetic aperture radar imagery. 2004 (013-053)
    • Brusch, S., Lehner, S., Fritz, T., Soccorsi, M., Soloviev, A., Van Schie, B.. Ship surveillance with TerraSAR-X. IEEE Transactions on Geoscience and Remote Sensing. 2011; 49 (3): 1092-1103
    • Wei, J., Li, P., Yang, J., Zhang, J., Lang, F.. A new automatic ship detection method using L-band polarimetric SAR imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014; 7 (4): 1383-1393
    • Marino, A.. A notch filter for ship detection with polarimetric SAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013; 6 (3): 1219-1232
    • Margarit, G., Milanés, J. A. B., Tabasco, A.. Operational ship monitoring system based on Synthetic Aperture Radar processing. Remote Sensing. 2009; 1 (3): 375-392
    • Tello, M., Lopez-Martinez, C., Mallorqui, J., Tares, T., Greidanus, H.. Advances in unsupervised ship detection with multiscale techniques. IEEE Geoscience and Remote Sensing Letters. 2009; 2 (2): IV–979-IV–982
    • Hwang, S.-I., Ouchi, K.. On a novel approach using MLCC and CFAR for the improvement of ship detection by synthetic aperture radar. IEEE Geoscience and Remote Sensing Letters. 2010; 7 (2): 391-395
    • Finn, H. M., Johnson, R. S.. Adaptive detection mode with threshold control as a function of spatially sampled clutter level estimates. RCA Review. 1968; 29: 414-468
    • Gandhi, P. P., Kassam, S. A.. Analysis of CFAR processors in homogeneous background. IEEE Transactions on Aerospace and Electronic Systems. 1988; 24 (4): 427-445
    • Gao, G., Liu, L., Zhao, L., Shi, G., Kuang, G.. An adaptive and fast CFAR algorithm based on automatic censoring for target detection in high-resolution SAR images. IEEE Transactions on Geoscience and Remote Sensing. 2009; 47 (6): 1685-1697
    • Zhang, R., Zou, Y., Sheng, W., Ma, X., Wang, H.. An improved CFAR detector for non-homogeneous clutter environment. ; 2: 1-4
    • Smith, M. E., Varshney, P. K.. Intelligent CFAR processor based on data variability. IEEE Transactions on Aerospace and Electronic Systems. 2000; 36 (3): 837-847
    • Frery, A. C., Müller, H.-J., Yanasse, C. D. C. F., Sant'Anna, S. J. S.. A model for extremely heterogeneous clutter. IEEE Transactions on Geoscience and Remote Sensing. 1997; 35 (3): 648-659
    • Goldman, H., Bar-David, I.. Analysis and application of the excision CFAR detector. IEE Proceedings F Communications, Radar and Signal Processing. 1988; 135 (6): 563-575
    • Gao, G.. Statistical modeling of SAR images: a survey. Sensors. 2010; 10 (1): 775-795
    • Abdelfattah, R., Nicolas, J.-M.. Interferometric SAR coherence magnitude estimation using second kind statistics. IEEE Transactions on Geoscience and Remote Sensing. 2006; 44 (7): 1942-1953
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