Informative Feature Analysis in Data Processing for Aerospace Monitoring
Abstract
Purpose: We analyze a generalized model of aerospace monitoring, systematize the informative feature selection results in the problems of object detection and identification, and perform probabilistic data analysis with multispectral structure of space images. Results: On the base of a generalized structural model of space monitoring technologies, some specific problems have been specified in relation to obtaining, transforming, processing and analyzing the information from Earth remote sensing. The most common informative features have been generally classified in relation to the problems of satellite image object segmentation, detection and recognition. We have shown the possibilities of probabilistic analysis of spectral indices and the features of multispectral image analysis by two-dimensional scattering patterns in a space of intensities. Practical relevance: The obtained results allow you to systematize and generalize numerous disparate studies of the selection and analysis of informative features. The processing algorithm synthesis procedures, the complexity and general efficiency of solving the basic space monitoring problems significantly depend on the choice and structure of these features.Published
2017-04-21
How to Cite
Khimenko, V., Okhtilev, M., Klucharev, A., & Matiash, V. (2017). Informative Feature Analysis in Data Processing for Aerospace Monitoring. Information and Control Systems, (2), 2-12. https://doi.org/10.15217/issn1684-8853.2017.2.2
Issue
Section
Information processing and control