INTEGRATION OF RESUNET AND YOLO ALGORITHMS INTO A UNIFIED MODEL FOR OBJECTS DETECTION
Automatic extraction of footprints of buildings from orthophotos is a challenge in the field of remote sensing data processing. The combination of image classification and object localization tasks in this research aims to develop a new model based on ResUNet and the YOLO algorithm. By applying the proposed model and publicly available data, a high...
By Milan Gavrilović, Igor Ruskovski, Željko Bugarinović, Dušan Jovanović, Miro Govedarica
ANALYSIS AND PREDICTION OF SPATIOTEMPORAL CHANGES OF URBAN AREAS USING NEURAL NETWORKS
Land use/Land cover (LULC) is crucial for land management. This study shows the spatiotemporal dynamics of LULC for a wide area of Novi Sad with the emphasis on the urban area analysis. Results presented in this study aim to estimate LULC changes and predict future trends of urban area expansion in Novi Sad. Conducted study shows that in the years ...
By Milan Gavrilović, Igor Ruskovski, Dubravka Sladić, Aleksandra Radulović, Miro Govedarica, Dušan Jovanović
ANALYSIS OF THE INFLUENCE OF CLIMATE FACTORS ON DIFFERENT CROPS USING MULTIVARIABLE ANALYSIS AND REMOTELY SENSED DATA
Phenology modeling of the most common agricultural cultures based on time series of high spatialresolution satellite imagery and vegetation indices was conducted for several crop types. This datawas used as an indicator of crops state in the multivariable correlation model as dependent variables.The influence of climate factors (temperature, air pr...
By Bojan Popović, Igor Ruskovski, Stevan Milovanov, Miro Govedarica, Dušan Jovanović