A region based target detection method for SAR images

Fatih Nar, C. Demirkesen, O. E. Okman, M. Çetin
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引用次数: 4

Abstract

Automatic target detection methods for synthetic aperture radar (SAR) images are sensitive to image resolution, size of the target to be detected, clutter complexity, and speckle noise level. A robust automatic target detection method needs to be less sensitive to the above factors. In this study, a constant false alarm rate (CFAR) based automatic target detection method which can find a target and its heterogeneous clutter independent of the image resolution and the target size has been developed. The proposed method provides efficient memory usage and low computational complexity.
基于区域的SAR图像目标检测方法
合成孔径雷达(SAR)图像的自动目标检测方法对图像分辨率、待检测目标大小、杂波复杂度和散斑噪声水平等因素非常敏感。一种鲁棒的自动目标检测方法需要降低对上述因素的敏感性。本研究提出了一种基于恒虚警率(CFAR)的目标自动检测方法,该方法能够独立于图像分辨率和目标尺寸找到目标及其异构杂波。该方法具有有效的内存利用率和较低的计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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