Sökning: "object-based classification"

Visar resultat 11 - 15 av 27 uppsatser innehållade orden object-based classification.

  1. 11. SVM Object Based Classification Using Dense Satellite Imagery Time Series

    Master-uppsats, KTH/Geoinformatik

    Författare :YUANXUN LI; [2018]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  3. 12. Mapping forest habitats in protected areas by integrating LiDAR and SPOT Multispectral Data

    Master-uppsats, KTH/Geoinformatik

    Författare :Manuela Alvarez; [2016]
    Nyckelord :LiDAR; spectral; spectral-LiDAR; SVM classification; forest classification;

    Sammanfattning : KNAS (Continuous Habitat Mapping of Protected Areas) is a Metria AB project that produces vegetation and habitat mapping in protected areas in Sweden. Vegetation and habitat mapping is challenging due to its heterogeneity, spatial variability and complex vertical and horizontal structure. LÄS MER

  4. 13. Forest Change Mapping in Southwestern Madagascar using Landsat-5 TM Imagery, 1990 –2010

    Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad, GIS

    Författare :Jeroen Grift; [2016]
    Nyckelord :Deforestation; pixel-based classification; object-based classification; landscape metrics; scaling structure;

    Sammanfattning : The main goal of this study was to map and measure forest change in the southwestern part of Madagascar near the city of Toliara in the period 1990-2010. Recent studies show that forest change in Madagascar on a regional scale does not only deal with forest loss, but also with forest growth However, it is unclear how the study area is dealing with these patterns. LÄS MER

  5. 14. Automating Geographic Object-Based Image Analysis and Assessing the Methods Transferability : A Case Study Using High Resolution Geografiska SverigedataTM Orthophotos

    Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad, GIS

    Författare :Isak Hast; Asmelash Mehari; [2016]
    Nyckelord :automatic training area selection; scale parameterisation; multiresolution segmentation; classification rule-sets; positional accuracy;

    Sammanfattning : Geographic object-based image analysis (GEOBIA) is an innovative image classification technique that treats spatial features in an image as objects, rather than as pixels; thus resembling closer to that of human perception of the geographic space. However, the process of a GEOBIA application allows for multiple interpretations. LÄS MER

  7. 15. Urban Vegetation Mapping Using Remote Sensing Techniques : A Comparison of Methods

    Kandidat-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Fredrik Palm; [2015]
    Nyckelord :Vegetation Mapping; Window Independent Contextual Segmentation WICS ; Supervised Classification; Object Based Image Analysis;

    Sammanfattning : The aim of this study is to compare remote sensing methods in the context of a vegetation mapping of an urban environment. The methods used was (1) a traditional per-pixel based method; maximum likelihood supervised classification (ENVI), (2) a standard object based method; example based feature extraction (ENVI) and (3) a newly developed method; Window Independent Contextual Segmentation (WICS) (Choros Cognition). LÄS MER