圆迹SAR子孔径图像序列联合相关DEM提取方法

Joint cross-correlation DEM extraction method for CSAR subaperture image sequences

利用圆迹合成孔径雷达(circular synthetic aperture radar,CSAR)子孔径图像序列提取观测场景地形高程模型(digital elevation model,DEM)时,为了利用保持相关性的一段圆弧内所有子孔径图像之间的相关性信息、提高DEM提取精度,提出了联合相关法。该方法以保持相关性的一段圆弧内所有子孔径图像之间的联合相关系数作为测度函数,提高了测度函数灵敏度。同时,通过将子孔径图像序列向三维空间投影以校正其几何形变,提高了子孔径图像序列间的相关性。实测数据处理结果及分析验证了所提方法的有效性和精确性。

Circular synthetic aperture radar（CSAR）has the capability of digital elevation model（DEM）extraction.A DEM extraction method using CSAR subaperture image sequences is presented in this paper.In order to increase the precision of the extracted DEM,the correlations among all the subaperture images in correlation within an arc are utilized in this method.The joint cross-correlation coefficient of all the subaperture images in correlation within an arc is taken as a measure function,which has a higher sensitivity in height extraction.Meanwhile,the geometrical distortion in the subaperture images is corrected by projecting them on 3 Dspace.Their correlations are thus improved.The results and analyses of the gotcha public release dataset validate the effectiveness and accuracy of the proposed method.