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Found 3 swedish dissertations matching the above criteria.

  2. 1. Multi-Modal Deep Learning with Sentinel-1 and Sentinel-2 Data for Urban Mapping and Change Detection

    Author : Sebastian Hafner; Yifang Ban; Paolo Gamba; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Geoinformatics; Geoinformatik;

    Abstract : Driven by the rapid growth in population, urbanization is progressing at an unprecedented rate in many places around the world. Earth observation has become an invaluable tool to monitor urbanization on a global scale by either mapping the extent of cities or detecting newly constructed urban areas within and around cities. READ MORE

  4. 2. Multitemporal Remote Sensing for Urban Mapping using KTH-SEG and KTH-Pavia Urban Extractor

    Author : Alexander Jacob; Yifang Ban; Paolo Gamba; Francesca Bovolo; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; KTH-SEG; ASAR; HJ-1B; Urban Land Cover Mapping; OBIA; Segmentation; Image Classification; KTH-Pavia Urban Extractor; Urban Extent; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Abstract : The objective of this licentiate thesis is to develop novel algorithms and improve existing methods for urban land cover mapping and urban extent extraction using multi-temporal remote sensing imagery. Past studies have demonstrated that synthetic aperture radar (SAR) have very good properties for the analysis of urban areas, the synergy of SAR and optical data is advantageous for various applications. 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