AUTOMATIC MRF-BASED REGISTRATION OF HIGH RESOLUTION SATELLITE VIDEO DATA

AUTOMATIC MRF-BASED REGISTRATION OF HIGH RESOLUTION SATELLITE VIDEO DATA

Blog Article

In this paper we propose a deformable registration framework for high resolution satellite video data able to Cooler Bag automatically and accurately co-register satellite video frames and/or register them to a reference map/image.The proposed approach performs non-rigid registration, formulates a Markov Random Fields (MRF) model, while efficient linear programming is employed for reaching the lowest potential of the cost function.The developed approach has been applied and validated on MAGNESIUM/POTASSIUM ASPARTATES satellite video sequences from Skybox Imaging and compared with a rigid, descriptor-based registration method.Regarding the computational performance, both the MRF-based and the descriptor-based methods were quite efficient, with the first one converging in some minutes and the second in some seconds.Regarding the registration accuracy the proposed MRF-based method significantly outperformed the descriptor-based one in all the performing experiments.