An adaptive reconstruction system for spatially correlated multispectral multitemporal images
S. Lee, Melba M. Crawford · IEEE Transactions on Geoscience and Remote Sensing · 1991
An adaptive image reconstruction system has been developed to analyze sequential images observed at regular time intervals. A least-squares linear prediction with escalator structure has been implemented in this system. Using the predictor, estimates of missing data or bad (possibly cloud-covered) data and spatial parameters at a specified time can be obtained from previous history. This algorithm recovers from observations which are contaminated due to blurring and correlated noise by using temporally adapted spatial parameters.>