MIT Lincoln Lab., Lexington, MA.
IEEE Trans Image Process. 1992;1(4):505-17. doi: 10.1109/83.199920.
Convolution backprojection (CBP) image reconstruction has been proposed as a means of producing high-resolution synthetic-aperture radar (SAR) images by processing data directly in the polar recording format which is the conventional recording format for spotlight mode SAR. The CBP algorithm filters each projection as it is recorded and then backprojects the ensemble of filtered projections to create the final image in a pixel-by-pixel format. CBP reconstruction produces high-quality images by handling the recorded data directly in polar format. The CBP algorithm requires only 1-D interpolation along the filtered projections to determine the precise values that must be contributed to the backprojection summation from each projection. The algorithm is thus able to produce higher quality images by eliminating the inaccuracies of 2-D interpolation, as well as using all the data recorded in the spectral domain annular sector more effectively. The computational complexity of the CBP algorithm is O(N (3)).
卷积反投影（CBP）图像重建被提议作为一种通过直接处理在极坐标记录格式中记录的数据来生成高分辨率合成孔径雷达（SAR）图像的方法，该极坐标记录格式是聚焦模式 SAR 的常规记录格式。CBP 算法在记录每个投影时对其进行滤波，然后将滤波后的投影集合反向投影以逐像素格式创建最终图像。CBP 重建通过直接在极坐标格式中处理记录的数据来生成高质量的图像。CBP 算法仅需要沿着滤波投影进行一维插值，以确定必须从每个投影向反向投影求和贡献的精确值。因此，该算法能够通过消除二维插值的不准确性以及更有效地使用谱域环形扇区中记录的所有数据来生成更高质量的图像。CBP 算法的计算复杂度为 O(N(3))。
