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Real Estate Monitoring System Based on Remote Sensing and Image Recognition Technologies

2017, Kodors, Sergejs, Aldis Rausis, Aivars Ratkevics, Janis Zvirgzds, Teilāns, Artis, Ivonna Ansone

Geoinformation are changing fast, therefore a change detection of real estate must be processed in short time. The increasing resolution of sensed geospatial data creates critically important to develop high performance computing solutions to process geospatial information. The topic of scientific work is the real estate monitoring system based on image recognition and remote sensing technologies. System's practical application is automatic building recognition from LiDAR data using saliency based method, vector map generation and change detection in actual cadastral maps. The scientific work describes high performance computing solution and gives its performance comparison with traditional method.