Tytuł artykułu

Thorough statistical comparison of machine learning regression models and their ensembles for sub-pixel imperviousness and imperviousness change mapping

Tytuł czasopisma

Geodesy and Cartography

Rocznik

2017

Wolumin

vol. 66

Numer

No 2

Autorzy

Drzewiecki, Wojciech

Słowa kluczowe

impervious areas ; sub-pixel classification ; machine learning ; model ensembles ; Landsat

Wydział PAN

Nauki Techniczne

Wydawca

Polska Akademia Nauk/ Komitet Geodezji Polskiej Akademii Nauk; Polish Academy of Sciences / Commitee on Geodesy Polish Academy of Sciences

Data

2017.12.15

Typ

Artykuły / Articles

Identyfikator

DOI: 10.1515/geocart-2017-0012 ; ISSN 2080-6736

Źródło

Geodesy and Cartography; 2017; vol. 66; No 2

O czasopiśmie

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.