Method for pan-sharpening panchromatic and multispectral images using dictionaries

摘要

A single panchromatic (Pan) image and a single multispectral (MS) image are Pan-sharpened by extracting features from the Pan image and the MS image. The features are decomposed into features without missing values and features with missing values. A dictionary is learned from the features without missing values. The values for the features with the missing values are learned using the dictionary. The MS image is merged with the Pan image including the predicted values into a merged image, and the merged image is then Pan sharpened.