Search for dissertations about: "polarimetric sar"

Showing result 1 - 5 of 13 swedish dissertations containing the words polarimetric sar.

2. 1. Urban Area Information Extraction From Polarimetric SAR Data

   Author : Deliang Xiang; Yifang Ban; Thuy Le Toan; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Polarimetric SAR; Scattering Decomposition; Man-Made Target Detection; Edge Detection; Superpixel; Urban Classification; Polarimetrisk SAR; Spridningsnedbrytning; Upptäckt av artificiella objekt; Kantupptäckt; Superpixel; Urban klassificering; Geodesy and Geoinformatics; Geodesi och geoinformatik;

   Abstract : Polarimetric Synthetic Aperture Radar (PolSAR) has been used for various remote sensing applications since more information could be obtained in multiple polarizations. The overall objective of this thesis is to investigate urban area information extraction from PolSAR data with the following specific objectives: (1) to exploit polarimetric scattering model-based decomposition methods for urban areas, (2) to investigate effective methods for man-made target detection, (3) to develop edge detection and superpixel generation methods, and (4) to investigate urban area classification and segmentation. READ MORE

4. 2. Spatially Adaptive Analysis and Segmentation of Polarimetric SAR Data

   Author : Wei Wang; Yifang Ban; Jianwei Wan; Xiaoxiang Zhu; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Polarimetric SAR; Spatially adaptive; Edge detection; Spherically invariant random vector SIRV ; Superpixel; Simple linear iterative clustering SLIC ; Entropy rate; Segmentation;

   Abstract : In recent years, Polarimetric Synthetic Aperture Radar (PolSAR) has been one of the most important instruments for earth observation, and is increasingly used in various remote sensing applications. Statistical modelling and scattering analysis are two main ways for PolSAR data interpretation, and have been intensively investigated in the past two decades. 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. 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

7. 5. Biomass Retrieval in Topographic Boreal Forest using Polarimetric and Tomographic SAR in P- and L-band

   Author : Erik Blomberg; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Forest Biomass; Tomography; SAR; L-band; EM Modelling; P-Band;

   Abstract : Forests and their associated habitats are an integral part of Earth's biosphere and provide essential environmental services. There is an ever present need for accurate and economic monitoring of forest parameters such as biomass - of great interest both locally, for forest management and resource utilization, and globally as it represents stored atmospheric CO2 and one of the largest uncertainties in climate modelling. READ MORE