Homomorphic filtering in digital multichannel image processing

Purpose. The purpose of this article is to develop a preprocessing method for digital multispectral remote sensing images obtained through optical and infrared means in the electromagnetic spectrum. aims ensure invariance with respect positional formation conditions that determine spatial radiometric resolution. By implementing homomorphic filtering method, we can significantly increase informative value processed imagery. Methodology. problem solving, including development resolution ways geospatial data are based on methods brightness distribution fusion, dimension reduction, de-correlation techniques geometric correction image distributions. Findings. has been developed, which component methodology identifying shapes (GS) objects multi-channel aerospace images, allowing significant improvement their recognition efficiency when noise present. Originality. photogrammetric scenes using enhance informational significance proposed. ensures fixation, improves accuracy further recognition, eliminates drawbacks known associated existence parametric uncertainty dependence, features fixation species information, low values information indices synthesized computational process peculiarities. Practical value. consists improving identification GS data, increasing raster rising automated processing efficiency. use greatly usefulness wide range applications, from environmental monitoring urban planning.