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

Procedia Computer Science 2017
Sergejs Kodors, Aldis Rausis, Aivars Ratkevičs, Jānis Zvirgzds, Artis Teilāns, 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

Atslēgas vārdi
Building recognition; Geospatial; High performance computing; Land administration; Laser scanning; Remote sensing; Saliency
DOI
10.1016/j.procs.2017.01.160
Hipersaite
http://www.sciencedirect.com/science/article/pii/S1877050917301618?via%3Dihub

Kodors, S., Rausis, A., Ratkevičs, A., Zvirgzds, J., Teilāns, A., Ansone, I. Real Estate Monitoring System Based on Remote Sensing and Image Recognition Technologies. Procedia Computer Science, 2017, Vol. 104, 460.-467.lpp. ISSN 1877-0509. Pieejams: doi:10.1016/j.procs.2017.01.160

Publikācijas valoda
English (en)