SIMULATION OF EARTH REMOTE SENSING DATA COMPRESSION BASED ON BLOCK ADAPTIVE QUANTIZATION
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Abstract
In order to compress data using the algorithm based on block adaptive quantization, a technique for obtaining threshold values and approximation errors for a different number of quantization levels is considered. The approach is based on using a system of nonlinear equations with respect to the coordinates of the angles of the step function, replacing the density of the normal distribution. As the initial data, the values of the reflected ERS-1 signal with In-phase and Quadrature phase components were used. The results of focusing with geometric correction of the data recovered after compression are presented. The main quality indicators of the quantizer are calculated.
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References
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