为了从含有较强相关背景杂波的图象序列中检测亚象元目标、点目标和少象元目标,本文提出抑制CN序列的新方法。首先给出高精度估算CN序列帧间平移参数的方法,并导出了一套公式,用于计算二维亚象元平移参数dx与dy.其次研究求解内插图象的技术,因为FFT插值法有较高的计算精度和速度,重点导出了它在频域里的一般公式;并且定义了内插控制参数,研究了一种内插挑点法,由此,文中建立了根据dx与dy确定内插控制参数、由内插挑点法实现图象的亚象元平移、配准和差分等抑制CN序列的一套算法,对所选用红外(Inf和可见光(TV)图象序列,执行同一个算法,相关杂波对消率均大于85%,在剩余图象序列里,除少量的目标成份外,主要是可加性的不相关的噪声,即UCN序列,关于UCN序列的抑制问题,请参考文献[8].
This paper presents the new methods of suppressing CN-sequence so as to detect the subpixel target
point target and a few pixel target. First
the methods of accurately estimating the shift parameters between the successive frames are presented
and the equations of calculating 2-D subpixel shift parameters
dx and dy
are deduced. Then
to solve interpolated image
the equations of the FFT interpolation method in frequency field are emphatically deduced. Also
the interpolation control parameters are defined
and the method of interpolating and selecting points(MOISP) is presented. Therefore
a set of algorithms to suppress CN-sequence is set up. The algorithms have been crried out and the CN reJection rates are all more than 85 percent for the selected real-world infrared and television image sequences. The main components of surplus image are the additive uncorrelated noise
i. e. UCN-sequence
except a few target component.
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