Change perception of disaster prevention images based aerial and satellite photography of geographical features

摘要

For the reduction of damages in disasters, e.g. in an earthquake, a prompt change perception based on aerial and satellite images assists in making appropriate decisions. In this paper, we propose an adaptive nonlinear mapping method which permits phase discontinuity as an extension of the original continuous phase model to realize a mapping in consideration of the discontinuity of the geographical features. We propose a multi-clustering consensus method and confirm the validity by applying the method to a dislocation detection based on simulated fault images. A multi potential method which is proposed as another nonlinear mapping method realizes a reduction of computational time and the detection of a simulated lateral flow.