DEVELOPMENT OF COMPRESSION ALGORITHMS FOR HYPERSPECTRAL AEROSPACE IMAGES BASED ON DISCRETE ORTHOGONAL TRANSFORMATIONS
Sarinova A. Dunayev P. Bekbayeva A. Mekhtiyev A. Sarsikeyev Y.
2022Technology Center
Eastern-European Journal of Enterprise Technologies
2022#1Issue 2-11522 - 30 pp.
The work is devoted to the description of the development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations for the purpose of subsequent compression in Earth remote sensing systems. As compression algorithms necessary to reduce the amount of transmitted information, it is proposed to use the developed compression methods based on Walsh-Hadamard transformations and discrete-cosine transformation. The paper considers a methodology for developing lossy and highquality compression algorithms during recovery of 85 % or more, taking into account which an adaptive algorithm for compressing hyperspectral AI and the generated quantization table have been developed. The existing solutions to the lossless compression problem for hyperspectral aerospace images are analyzed. Based on them, a compression algorithm is proposed taking into account inter-channel correlation and the Walsh-Hadamard transformation, characterized by data transformation with a decrease in the range of the initial values by forming a set of channel groups [10–15] with high intra-group correlation [0.9–1] of the corresponding pairs with the selection of optimal parameters. The results obtained in the course of the research allow us to determine the optimal parameters for compression: the results of the compression ratio indicators were improved by more than 30 % with an increase in the size of the parameter channels. This is due to the fact that the more values to be converted, the fewer bits are required to store them. The best values of the compression ratio [8–12] are achieved by choosing the number of channels in an ordered group with high correlation
Compression algorithm , Compression ratio , Discrete transformations , Discrete-cosine transformation , Hyperspectral aerospace images , Walsh-hadamard
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Department of Operation of Electrical Equipment, S. Seifullin Kazakh Agro Technical University, Zhenis ave.,62, Nur-Sultan, 010011, Kazakhstan
Department of Radio Engineering, Electronics and Telecommunications, S. Seifullin Kazakh Agro Technical University, Zhenis ave.,62, Nur-Sultan, 010011, Kazakhstan
Center for Technological Competence in the Field of Digitalization of Agro-Industrial Complex, S. Seifullin Kazakh Agro Technical University, Zhenis ave.,62, Nur-Sultan, 010011, Kazakhstan
Department of Operation of Electrical Equipment
Department of Radio Engineering
Center for Technological Competence in the Field of Digitalization of Agro-Industrial Complex
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