Mapping Landslide Potential Area using Fault Fracture Density Analysis on Unmanned Aerial Vehicle (UAV) Image

1st UPI International Geography Seminar 2017

Ardi, N.D.^1 ; Iryanti, M.^1 ; Asmoro, C.P.^1 ; Nurhayati, N.^1 ; Agustine, E.^1

Department of Geography Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung

40154, Indonesia^1

关键词: Chan-Vese model;    Chan-Vese segmentations;    Fault zone;    Fracture density analysis;    High resolution image;    Individual components;    Initialization methods;    Satellite images;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/145/1/012010/pdf
DOI  :  10.1088/1755-1315/145/1/012010

来源: IOP

【 摘 要 】

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.