Multrlayer Feature Selection Based Hierarchal Component Model for Aero-plane Detection on Remote Sensing Image

In this paper，we propose a multiple feature based hierarchal component model for aero-plane detection on remote sensing image.In order to take the use of multiple features together with Part-based Model approach，we propose the new algorithm:first，in order to give a more clear description of the target，MKL learning method is used to combine the multiple feature extracted from the target through a liner combination procedure，then，because the object itself has structure features，we build a latent hierarchical structure model(LHSM)，at last，we combine the MKL and LHS together to form the algorithm proposed in the beginning. We also test the effects of the new algorithm by collecting the remote sensing images from ten international airports;the result shows that the new approach is worthwhile.