Abstract

A procedure for restructuring a gray-scale image into a three-dimensional array with redundant representation of the remote probing data obtained from the original gray-scale image is proposed. The prerequisite for the procedure is the spatial redundancy of images of the Earth’s surface. An approach to select the block size for image restructuring based on the calculation of the Euclidean distance was developed. This approach was studied using real and reduced images of the Earth, which allowed obtaining specific values of block sizes when processing data with different spatial resolutions. It was found that the individual sections of the resulting array were characterized by high proximity, which enabled the use of special methods for compressing three-dimensional data.

© 2017 Optical Society of America

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