Details
Title
Improving sub-pixel imperviousness change prediction by ensembling heterogeneous non-linear regression modelsJournal title
Geodesy and CartographyYearbook
2016Volume
vol. 65Issue
No 2Authors
Keywords
machine learning ; model ensembles ; sub-pixel classification ; impervious areas ; LandsatDivisions of PAS
Nauki TechniczneCoverage
193-218Publisher
Commitee on Geodesy PASDate
2016Type
Artykuły / ArticlesIdentifier
DOI: 10.1515/geocart-2016-0016 ; ISSN 2080-6736Source
Geodesy and Cartography; 2016; vol. 65; No 2; 193-218References
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The Advances in Geodesy and Geoinformation (formerly “Geodesy and Cartography”) is an open access international journal (semiannual) concerned with the study of scientific problems in the field of geodesy, geoinformation and their related interdisciplinary sciences. The journal has a rigorous peer–review process to ensure the best research publications. It is publishing peer–reviewed original articles on theoretical or modelling studies, and on results of experiments associated with geodesy and geodynamics, geoinformation, cartography and GIS, cadastre and land management, photogrammetry, remote sensing and related disciplines. Besides original research articles, the Advances in Geodesy and Geoinformation also accepts review articles on topical subjects, short notes/letters and communication of a great importance to the readers, and special issues arising from the national/international conferences as well as collection of articles that concentrates on a hot topical research area that falls within the scope of the journal.Content of Advances in Geodesy and Geoinformation is archived with a long-term preservation service by the National Library of Poland.