Remote sensing images are subject to different types of degradations. The visual quality of
such images is important because their visual inspection and analysis are still widely used …

This article addresses under which conditions filtering can visibly improve the image quality.
The key points are the following. First, we analyze filtering efficiency for 25 test images, from …

No-reference image quality assessment is one of the most demanding areas of image
analysis for many applications where the results of the analysis should be strongly …

The wide distribution of images of remote sensing (RS) of the Earth in various application
areas makes it important to ensure the high quality of such images, which is important to …

In design of many image processing methods and algorithms, it is assumed that noise is iid
However, noise in real life images is often spatially correlated and ignoring this fact can lead …

Blind estimation of noise characteristics (BENC), such as noise type, its statistics and
spectrum, has become an actual practical task for various image processing applications …

Images formed by different systems are often noisy which makes filtering a typical operation
of image pre-processing. In many research papers, filter performance is analyzed for a …

SOME ASPECTS OF PROCESSING OF MULTICHANNEL REMOTE SENSING DATA
USING NEURAL NETWORKS | European Science Skip to main content Skip to main …

Проведено дослідження щодо впливу критерію вибору метрик та їх кількості на
характеристики роботи комбінованої метрики. Також проаналізовано вплив структури …

In hyperspectral imaging, one has to deal with huge amount of data at different stages of
their processing both on-board and on-land. Due to this, high degree of automation is …