Patent ID: 6608585
Filing Date: 2003-08-19
Classification: G01S

Abstract:
A method of processing image data to produce a high-definition image, comprising the steps of:receiving the image data; and adaptively processing the image data using a constrained minimum variance method to iteratively compute the high-definition image, wherein the high-definition image I is expressed in range and cross-range as I(r,c)=min&ohgr;HR&ohgr;, where &ohgr; is a weighting vector and R is a covariance matrix of the image data, wherein a solution for I(r,c) is approximated by i) forming Y=[x1 . . . xK]T/{square root over (K)}, where x1 . . . xk are beamspace looks formed from image domain looks and with y1, y2, and y3 denoting the KÃ—1 columns of Y; ii) computing r21=y2Ty1 and r31=y3Ty1, and b=r21y2+r31y3; computing &ggr; as Î³=min&af;(r212+r312bT&it;b,Î²-1r212+r312);and iii) computing I(r,c) as I(r,c)=&par;y1âˆ’&ggr;b&par;2.