Blar i forfatter "Agersborg, Jørgen Andreas"

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    • Mean shift spectral clustering using kernel entropy component analysis 

      Agersborg, Jørgen Andreas (Master thesis; Mastergradsoppgave, 2012-06-01)
      Clustering is an unsupervised pattern recognition technique for finding natural groups in data, whether it is a grouping of web pages found by a search engine or segmenting satellite images into different types of ground cover. There exists a variety of different ways to perform clustering ranging from heuristics rules designed for a specific dataset to general procedures which can be applied to all ...

    • Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping 

      Agersborg, Jørgen Andreas; Anfinsen, Stian Normann; Jepsen, Jane Uhd (Conference object; Konferansebidrag, 2020)
      In this study we investigate the potential for using synthetic aperture radar (SAR) data to provide high resolution defoliation and regrowth mapping of trees in the tundra-forest ecotone. Using aerial photographs, four areas with live forest and four areas with dead trees were identified. Quad-polarimetric SAR data from RADARSAT-2 was collected from the same area, and the complex multilook polarimetric ...

    • Toward Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping 

      Agersborg, Jørgen Andreas; Luppino, Luigi Tommaso; Anfinsen, Stian Normann; Jepsen, Jane Uhd (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-20)
      Several generic methods have recently been developed for change detection in heterogeneous remote sensing data, such as images from synthetic aperture radar (SAR) and multispectral radiometers. However, these are not well-suited to detect weak signatures of certain disturbances of ecological systems. To resolve this problem we propose a new approach based on image-to-image translation and one-class ...