基于区域的SAR图像目标检测方法

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

摘要

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。
A region based target detection method for SAR images
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.
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