Sökning: "object-based image analysis"

Visar resultat 6 - 10 av 14 uppsatser innehållade orden object-based image analysis.

1. 6. Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment

   Master-uppsats, KTH/Geoinformatik

   Författare :Oliver Stromann; [2018]
   Nyckelord :Feature Extraction; Feature Selection; Dimensionality Reduction; Supervised Object-Based Land Cover Classification; Google Earth Engine;

   Sammanfattning : Mapping the Earth’s surface and its rapid changes with remotely sensed data is a crucial tool to un-derstand the impact of an increasingly urban world population on the environment. However, the impressive amount of freely available Copernicus data is only marginally exploited in common clas-sifications. LÄS MER

3. 7. Investigating the potential of object-based image analysis to identify tree avenues in high resolution aerial imagery and lidar data : a literature review

   Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Greta Moreen Wistrand; [2016]
   Nyckelord :eCognition; remote sensing; geographic object-based image analysis; GE OBIA; lidar; tree avenues; landscape elements; monitoring; physical geography and ecosystem science; Earth and Environmental Sciences;

   Sammanfattning : The aim of this study was to investigate the potential of geographic object-based image analysis (GEOBIA) for the identification and monitoring of tree avenues with the help of aerial imagery and lidar data. For this, a literature review into three topics was conducted: First, scientific literature in form of journal articles, text books, and reports were used to highlight key features of GEOBIA. LÄS MER

4. 8. 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

5. 9. 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

7. 10. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Linnea Jonsson; [2015]
   Nyckelord :support vector machine; maximum likelihood; SPOT-5; classification; geography; physical geography; RBF-kernel; OBIA; multiresolution segmentation; Earth and Environmental Sciences;

   Sammanfattning : In the state of Acre, Brazil, there is ongoing land use change, where inhabitants of this part of the Amazonian rainforest practice shifting agriculture. Practicing this type of agriculture is, according to the SKY Rainforest Rescue organization, damaging to forest ecosystems. LÄS MER