基于旋转阵列的多帧合成孔径图像复原

针对光学合成孔径成像系统的调制传递函数 (MTF)在中-低频段的衰减以及造成的合成图像降质问题,以6孔径Y型 阵列 为例,提出子孔径阵列旋转成像以获取包含互补信息的多帧图像；通过截止频率与中频能量 比确定旋转角度,并 利用多帧迭代盲解卷积算法进行图像复原。实验表明,与现有的代表性工作相比,本文方法 对于Y型阵列的合成孔径图像有较好的复原效果和重建的准确性。

Multi-frame synthetic aperture image restoration based on rotated array

Optical synthetic aperture imaging technique,which substitutes the sin gle aperture with multiple sub-apertures of a certain arrangement,can meet the high resolution imaging de mand while reducing the weight of the system.However,the modulation transfer function (MTF) of optical synthetic a perture system is attenuated in the low and middle frequency band,which causes the degradation of image.Aiming at t his problem,the characteristics and image restoration algorithm of rotated array based on Y-type array with six apertures are studied.Firstly,some of the Y-type array sub-apertures are rota ted to respectively acquire the mul ti-frame images containing integrated information.Secondly,the rotation angles are determined via the cut-off freq uency and mid-band energy ratio which correspond to the resolution and spectr um energy,respectively.Finally, image restoration is performed by multi-frame iterative blind deconvolution algorithm.The experimental results show that the proposed method works well on the synthetic aperture image restoration of Y-type array,and the reconstruction accuracy has also been validated.Moreover,the design of relative sensor can be innovated by this method.