CAJ | 학술논문

分析了高分辨 SAR 图像中受遮挡建筑物的特点,提出了一种针对遮挡情况建筑物的高度估计方法.该方法基于模型迭代匹配的思想,将一系列高度参数假设依所提构建的计算模型变换为特征信号并与 SAR 图像进行匹配,使似然函数达到最大的高度假设为待估计的遮挡建筑物高度.基于仿真和实测 SAR 数据的实验结果表明,和已有方法相比,所提方法可以更准确地实现对部分被遮挡建筑物的高度估计.
분석료고분변 SAR 도상중수차당건축물적특점,제출료일충침대차당정황건축물적고도고계방법.해방법기우모형질대필배적사상,장일계렬고도삼수가설의소제구건적계산모형변환위특정신호병여 SAR 도상진행필배,사사연함수체도최대적고도가설위대고계적차당건축물고도.기우방진화실측 SAR 수거적실험결과표명,화이유방법상비,소제방법가이경준학지실현대부분피차당건축물적고도고계.
@@@@Based on the analysis of occluded buildings in high resolution SAR images, a novel method for occluded building height estimation was proposed. First, a projection model for SAR building signature prediction from a 3D par-ametric model was constructed. Second, a likelihood function for SAR building signature evaluation was formulated. Fi-nally, the parametric models with different height parameters were evaluated with the actual SAR image by the likelihood function. The estimated building height corresponded to the parametric model which reached a maximum likelihood val-ue. Comparative experimental results show that the proposed method is more effective in estimating building height even under partial occlusion.