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A model of the automated space monitoring system (ASMS) for the presence of waste disposal facilities (WDFs) is being developed in this paper. One of the components of the model is the space imagery storage unit, which allows not only to improve the performance of environmental authorities, but also to enhance the effectiveness of WGF monitoring (space, aerological, and ground based). The article also investigates the problem of searching in space image archives of similarities based on Haar wavelet transformations for stability. This paper aim at modelling of an ASMS and the application of the regularization method in the problem of finding similar space images in the archives of the simulated ASMS by means of discrete orthogonal transformations, in particular, wavelet transformations of Haar. We use the Tikhonov regularization method, elements of mathematical analysis, the theory of discrete orthogonal transformations, and methods for decoding cosmic images. The result of the experiment, which confirms the Tikhonov regularization method for Haar wavelet transforms, based on the example of processing archive satellite images that are located in a data warehouse, is presented.

Investigation of the similarity algorithm of the satellite images storage system for stability on the basis of Haar wavelets according to Tikhonov