One-thread microprocessor system oriented algorithms of sample sorting for remote sensing (RS) image processing us-ing L-filters are considered. The efficient algorithms of run-ning sample sorting by list merging and hybrid list-histogram sorting are proposed. The efficiency is evaluated and com-pared to known standard and modified algorithms of sample sorting for filtering tasks in different noise situations that are typical for RS-data. It is shown that for the most frequently used apertures of sliding window the use of the proposed sort-ing algorithms is expedient.