Registration Number
0222U005341,
0121U113956
, R & D reports
Title
Machine learning based processing of multichannel remote sensing data
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Head
Uss Mykhailo L., к.т.н.
Registration Date
27-12-2022
Organization
National Aerospace University "Kharkiv Aviation Institute"
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Scientific research report: 83 pages, 22 figures, 11 tables, 141 sources.
The object of research is multi-channel images formed and processed by remote sensing systems.
The purpose of the research is to develop methods based on machine learning for effective automatic and semi-automatic processing of multi-channel remote sensing data.
The report presents the results of the development of combined quality metrics for three-component images of multi-channel remote sensing data using several elementary metrics fed to the input of a trained neural network. The analysis proved that this significantly improved the Spearman's rank correlation between the metrics and the average human rating of quality.
A method and tool for predicting the efficiency of lossy image compression has also been developed. The prediction is based on the training of a neural network whose inputs are a parameter that controls the compression and several parameters that describe the complexity of the image. It is shown that it is possible to predict the presence of an optimal operating point when compressing images distorted by noise, and the probability of correct classification of the image.
Product Description
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Ieremiev Oleg I
Vasilyeva Irina K.
Kovalenko Bogdan V
Lukin Volodymyr Vasylovych
Makarichev Viktor O
Chernova Galina A
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2022-12-28
