Study on Remote Sensing Image Classification Method Based on Road Trajectory Prediction Model
In this paper,remote sensing image classification method has been studied based on road trajecto-ry prediction model,research background of remote sensing image road extraction has been reviewed,and key factors affecting road extraction have been analyzed,including image resolution and algorithm automa-tion degree.Remote sensing image extraction methods of road elements,including the extraction strate-gies of fast road,main road and secondary road.In the aspect of fast path extraction,object-oriented classification and rule set construction technology are adopted.In main road extraction,the method combi-ning the construction of cyclic rule set and mathematical morphology processing has been used.For sub-trunk extraction,the steps of image preprocessing and sub-trunk feature extraction have been proposed.These methods will provide effective technical support for road classification and extraction in remote sens-ing images.
High-resolution remote sensing imageroad extractionroad trajectory prediction model
万方数据
维普
