Correction to 'Kalman Filtering in Two Dimensions'

In the above paper, ^{1} the two-dimensional (2-D) reduced update Kalman filter was introduced as an optimal approximation to the 2-D Kalman filter for scalar observations obtained from a raster scan. The reduced update filter consists of two parts: a prediction part and a reduced update part, i.e., an update of

[1]  JOHN w. WOODS,et al.  Kalman filtering in two dimensions , 1977, IEEE Trans. Inf. Theory.