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- W3022928682 abstract "A post-classification processing technique for noisy multichannel image that includes the method of local spatial filtering of segmented images in pseudo colors and multilayer classification algorithm is proposed. The post-classification processing effectiveness is verified for satellite image degraded by additive white Gaussian noise. It is demonstrated that the presence of noise in remote sensing data complicates the recognition task in pixel-by-pixel classification leading to a large number of arising errors. It is shown that post-classification processing can significantly increase overall probability of correct recognition of objects in noisy images." @default.
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- W3022928682 date "2020-02-01" @default.
- W3022928682 modified "2023-10-16" @default.
- W3022928682 title "Analysis of Improvement of Noisy Multichannel Image Controlled Pixel-by-Pixel Classification by Post-Classification Processing" @default.
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- W3022928682 doi "https://doi.org/10.1109/tcset49122.2020.235488" @default.
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