Search for dissertations about: "Object-based Rule-based Classification"

Found 5 swedish dissertations containing the words Object-based Rule-based Classification.

  2. 1. Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping

    Author : Xin Niu; Yifang Ban; Laurent Ferro-Famil; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; RADARSAT-2; Spaceborne; Polarimetric SAR; Urban Land cover; Object-based Rule-based Classification; Support Vector Machines; Contextual; Stochastic Expectation-Maximization; Markov Random Field.;

    Abstract : Urban land cover mapping represents one of the most important remote sensing applications in the context of rapid global urbanization. In recent years, high resolution spaceborne Polarimetric Synthetic Aperture Radar (PolSAR) has been increasingly used for urban land cover/land-use mapping, since more information could be obtained in multiple polarizations and the collection of such data is less influenced by solar illumination and weather conditions. READ MORE

  4. 2. Urban Land-cover Mapping with High-resolution Spaceborne SAR Data

    Author : Hongtao Hu; Yifang Ban; Johan Fransson; KTH; []
    Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; High-resolution; RADARSAT-1 SAR; RADARSAT-2 SAR; Urban Land Cover; Object-based Classification; Neural Network; Support Vector Machines.; Remote sensing; Fjärranalys;

    Abstract : Urban areas around the world are changing constantly and therefore it is necessary to update urban land cover maps regularly. Remote sensing techniques have been used to monitor changes and update land-use/land-cover information in urban areas for decades. Optical imaging systems have received most of the attention in urban studies. READ MORE

  5. 3. Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping

    Author : Xin Niu; Yifang Ban; Paolo Gamba; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; RADARSAT-2; spaceborne; polarimetric SAR; urban land cover; classification; Information technology; Informationsteknik;

    Abstract : Urban represents one of the most dynamic areas in the global change context. To support rational policies for sustainable urban development, remote sensing technologies such as Synthetic Aperture Radar (SAR) enjoy increasing popularity for collecting up-to-date and reliable information such as urban land cover/land-use. READ MORE

  6. 4. Earth Observation based Monitoring of Urbanizationand Environmental Impact in Kigali, Rwanda

    Author : Theodomir Mugiraneza; Yifang Ban; Jan Haas; Emmanuel Twarabamenye; Constantinos Cartalis; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Earth observation; Landsat; Sentinel-2; WorldView-2; Urbanization; Land cover classification; Support vector machines; Random forest; U-Net; LandTrendr; Landscape metrics; Ecosystem services; Environmental impact analysis; Kigali; Rwanda; Jordobservation; Landsat; Sentinel-2 MSI; WorldView-2; Urbanisering; Klassificering av marktäcke; Stödvektormaskiner; Slumpmässig skog; U-Net; LandTrendr; Landskapsmetriker; Ekosystemtjänster; Miljökon- sekvensanalys; Kigali; Rwanda.; Geoinformatics; Geoinformatik;

    Abstract : Urbanization is one of the great challenges in the 21st century. Despite being an engine for the global economy, urban areas consume 78% of World's energy and emit more than 60% of greenhouse gas emission. Sub-SaharanAfrican cities, e.g. READ MORE

  7. 5. Satellite Monitoring of Urbanization and Indicator-based Assessment of Environmental Impact

    Author : Dorothy Furberg; Yifang Ban; Xiaojun Yang; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Urbanization; remote sensing; land-cover classification; landscape metrics; environmental indicators; environmental impact; ecosystem services; green infrastructure; habitat network analysis; Greater Toronto Area; Stockholm; Shanghai; urbanisering; fjärranalys; marktäckeklassificering; landskapsnyckeltal; miljöindikatorer; miljöpåverkan; ekosystemtjänster; grön infrastruktur; habitat nätverksanalys; Greater Toronto Area; Stockholm; Shanghai; Geodesy and Geoinformatics; Geodesi och geoinformatik; Geoinformatik; Geoinformatics;

    Abstract : As of 2018, 55% of the world population resides in urban areas. This proportion is projected to increase to 68% by 2050 (United Nations 2018). The Stockholm region is no exception to this urbanizing trend: the population of Stockholm City has risen by 28% since the year 2000. READ MORE