CAJ | 학술논문

地物目标的物理结构、表面粗糙度或地物目标类型发生了变化,则其后向散射能量一般会发生相应的变化,对应的雷达散射截面(Radar Cross Section,RCS)也会发生变化,这将导致合成孔径雷达(Synthetic Aperture Radar, SAR)图像的亮度和色泽发生变化.提出了一种新的基于RCS曲线特性的SAR图像目标变化检测算法.该算法不同于以往的基于图像域的变化检测算法,从目标的散射特性提取目标的变化信息,避免了不同时相的SAR图像对误配准所带来的错误.并进行了仿真实验,实验结果表明可行.
지물목표적물리결구、표면조조도혹지물목표류형발생료변화,칙기후향산사능량일반회발생상응적변화,대응적뢰체산사절면(Radar Cross Section,RCS)야회발생변화,저장도치합성공경뢰체(Synthetic Aperture Radar, SAR)도상적량도화색택발생변화.제출료일충신적기우RCS곡선특성적SAR도상목표변화검측산법.해산법불동우이왕적기우도상역적변화검측산법,종목표적산사특성제취목표적변화신식,피면료불동시상적SAR도상대오배준소대래적착오.병진행료방진실험,실험결과표명가행.
If the physical structure and surface roughness of ground objects or object classes change, backscattering energy will produce corresponding changes and radar cross section (RCS) also changes. It leads to the brightness and color changes of synthetic aperture radar (SAR) images. So this paper proposes a new SAR image target change detection algorithm which is based on RCS curve. The proposed algorithm is different from other change detection algorithms that are based on image field. It can obtain the change information through target scattering characteristics, which avoids some errors brought by the error registration between multi-temporal SAR images. Finally, some test experiments perform with SAR image and the experimental results show that the method is feasible.