Abstract
Photogrammetry with fault fracture density analysis adds high-resolution image of surface structure so that landslide potential of research area can be mapped comprehensively. The main notion in this paper is to distinguish regions and excerpt individual components from an unmanned aerial vehicle (UAV) image comparing to satellite image. Using Chan-Vese segmentation approaches to, we detect regions around the edge around the images. This paper presents an effective initialization method for segmentation using the Chan-Vese model by varying on the iteration. The method is tested on several models and provides considerable rise in performance. Finally, we developed program in Matlab for unravelling resulting equation numerically in fault zone case.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call