Object Detecting of Aeroplan Based on Hierarchical Adaptive Part-based Model

A remote sensing image object detecting of aeroplane based on hierarchical adaptive part-based model is proposed.Because the present approaches take less of consideration on subtype choice and multi-resolution structure relationships,a new algorithm was put forward.First,an extern part-based model is built up.Then,we optimize its effects from subtype adaptive choice,subtype hierarchical modeling and weighted distance transform.Finally,HAPM takes model deformation and together with hierarchical structure,which greatly improve the detection result and its application.By collecting the remote sensing images from ten airports,the effects of the new algorithm also has been tested.In a consequence,the results show that the new approach is worthwhile.