Bag-of-Spatial Words(BoSW)Framework for Predicting SAR Image Registration in Real Time Applications

摘要

SAR Image registration is a precursor for several remote sensing applications, which need precise spatial transformation between the real time moving image and fixed off-line image. In such applications, the processing time in finding whether the moving images can be registered with fixed image constitute an overhead. Hence we have approached the problem by trying to predict if the given SAR images can be registered or not even without registering them. The proposed image registration approach incorporates a classifier into the standard pipeline of feature based image registration. The attributes for the classifier model are derived from fusing the spatial parameters of the feature detector to the descriptor vector in bag of visual words framework.