Urban Area Eztraction in Airborne SAR imagery based on the parameter of GOA distribution

摘要：

An algorithm of extracting urban areas in airborne synthetic aperture radar (SAR) imagery is presented based on the local statistical characteristics. The GOA distribution is introduced to model the ground scene in SAR imagery firstly. Then we demonstrate that the parameter α of GOA distribution in urban regions is much smaller than those containing non-artificial regions.Finally,experimental results using PiSAR data show that the proposed algorithm can distinguish urban areas from other areas better than the Weibull distribution based algorithm.

关键词： synthetic aperture radar (SAR) GOA distribution Weibull distribution urban area eztraction

作者: An Yang Xin Xu Yijin Peng

作者单位: Signal Processing Lab,Wuhan University,Wuhan 430079,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 124-128

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）