Тип публикации: статья из журнала
Год издания: 2022
Идентификатор DOI: 10.1088/1757-899x/1230/1/012002
Аннотация: <jats:title>Abstract</jats:title> <jats:p>The information system is designed to solve the problems of analyzing remote sensing data and making decisions using non-parametric pattern recognition algorithms, the synthesis of which is based on kernel estimates of probability density. Initial information is compiled by training samplesПоказать полностьюon the states of the investigated natural objects and their corresponding spectral data, which are presented in Microsoft Excel files. The application of the software provides the following functions: primary processing of remote sensing data to evaluate the main quantitative characteristics of the laws of distribution of random variables; testing of the hypothesis on distributions of multivariate random variables based on non-parametric pattern recognition algorithms; estimating the state of natural objects by spectral data; mapping of territories by state of natural objects based on spectral data of earth surface elements and their corresponding spatial coordinates. Results of the presented functional tasks are saved in the form of reports in graphic files and spreadsheets of Microsoft Excel. Software tools can be used in the study of various nature objects from remote sensing data.</jats:p>
Журнал: IOP Conference Series: Materials Science and Engineering
Выпуск журнала: Т. 1230, № 1
Номера страниц: 012002
ISSN журнала: 17578981
Издатель: IOP Publishing