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An adaptive reconstruction system for spatially correlated multispectral multitemporal images

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2 Author(s)
S. Lee ; Dept. of Ind. Eng., Kyung Won Univ., Seongnam, South Korea ; M. M. Crawford

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

Published in:

IEEE Transactions on Geoscience and Remote Sensing  (Volume:29 ,  Issue: 4 )