CAJ | 학술논문

为尽可能多地消除遥感图像变化检测过程中“伪变化”信息的影响，获得比较客观的感兴趣区域变化检测结果，针对遥感图像中SAR图像的特点，提出一种混合的SAR图像变化检测算法。对已配准好的图像进行Frost滤波，用邻域比值的方法构造差异图，对得到的差异图进行非下采样轮廓波变换（NSCT），对变换得到的高频子带和低频子带分别处理，用模糊C均值（FCM）聚类算法得到变化检测的结果。实验结果表明，该算法模型很好地保留了图像变化区域的细节，提高了变化检测准确性。
위진가능다지소제요감도상변화검측과정중“위변화”신식적영향，획득비교객관적감흥취구역변화검측결과，침대요감도상중SAR도상적특점，제출일충혼합적SAR도상변화검측산법。대이배준호적도상진행Frost려파，용린역비치적방법구조차이도，대득도적차이도진행비하채양륜곽파변환（NSCT），대변환득도적고빈자대화저빈자대분별처리，용모호C균치（FCM）취류산법득도변화검측적결과。실험결과표명，해산법모형흔호지보류료도상변화구역적세절，제고료변화검측준학성。
To get rid of the influence of pseudo-change as much as possible and obtain more obj ective test results in the regions of variation,a hybrid SAR image change detection algorithm was presented based on the characteristics of SAR image.Firstly,the images registered well were treated by filtering and then the difference image was constructed using the method of neighborhood ratio and processed using the method of nonsubsampled Contourlet transform (NSCT).The high-frequency and low-frequency sub-bands were handled.The results of change detection were obtained using the fuzzy C-means (FCM)clustering algorithm. Experimental results show that the proposed algorithm not only retains the details of the change region,but also improves the change detection accuracy.