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2019-02-21
Ship Detection in SAR Image Based on Information Geometry Method
By
Progress In Electromagnetics Research M, Vol. 79, 81-90, 2019
Abstract
Aiming at the problem of high false alarm rate with respect to adaptive threshold in the ship detection from synthetic aperture radar (SAR) images, a novel strategy increasing robustness when using local adaptive threshold is proposed. In this article, we establish a fusion detection model based on a combination of the information geometry and surface geometry. Information geometry from a metric viewpoint can increase the contrast between targets and clutter in SAR image. Local surface feature gives a brief application of adaptive threshold method in ship detection from SAR images by means of the constant false-alarm-rate. Experiments indicate that the proposed geometry-based approach can effectively detect ship targets from complex background SAR images by using the method of fusion processing.
Citation
Xiangxiang Yang Meng Yang Yinhua Zhang Gong Zhang , "Ship Detection in SAR Image Based on Information Geometry Method," Progress In Electromagnetics Research M, Vol. 79, 81-90, 2019.
doi:10.2528/PIERM19010102
http://www.jpier.org/PIERM/pier.php?paper=19010102
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