Sökning: "object-based classification"
Visar resultat 21 - 25 av 27 uppsatser innehållade orden object-based classification.
21. Object-Based Classification of Vegetation at Stordalen Mire near Abisko by using High-Resolution Aerial Imagery
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : The focus of this work is to investigate and apply the remote sensing method of object-based image analysis (OBIA) for vegetation classification of a permafrost underlain peatland in sub-arctic Sweden, by using aerial imagery of high resolution. Since the northern landscapes are an important source of naturally stored CH4 and CO2, their contribution to the global carbon cycle is a focus in research about climate change and the global methane exchange. LÄS MER
22. Object based change detection in urban area using KTH-SEG
Kandidat-uppsats, KTH/Geodesi och geoinformatikSammanfattning : Today more and more people are moving to the cities around the world. This puts a lot of strain on the infrastructure as the cities grow in both width and height. To be able to monitor the ongoing change remote sensing is an effective tool and ways to make it even more effective, better and easier to use are constantly sought after. LÄS MER
23. Byggdelsklassificering av installationer : En fallstudie i hur BSAB-systemet kan utvecklas
M1-uppsats, KTH/Byggteknik och designSammanfattning : Building Information Modelling (BIM) medför ett helt nytt sätt att arbeta där objektsbaserade 3D-modeller är den huvudsakliga informationskällan. Modellerna kan bära på stora mängder information i jämförelse med den traditionella pappersritningen som är begränsad till text, symboler och en 2D-visualisering av byggnaden. LÄS MER
24. Radar and Optical Data Fusion for Object Based Urban Land Cover Mapping
Master-uppsats, KTH/Geodesi och geoinformatikSammanfattning : The creation and classification of segments for object based urban land cover mapping is the key goal of this master thesis. An algorithm based on region growing and merging was developed, implemented and tested. The synergy effects of a fused data set of SAR and optical imagery were evaluated based on the classification results. LÄS MER
25. High Resolution Satellite Data for MappingLanduse/Land-cover in the Rural-Urban Fringeof the Greater Toronto Area
Master-uppsats, KTH/Geodesi och satellitpositioneringSammanfattning : Landuse and land-cover classification from high resolution imagery has been seen as challenging by theremote sensing society. The high variability from pixel to pixel makes the use of pixel-based classifiersobsolete. LÄS MER