Proposição de Método para Detectar e Delinear Feições na Superfície de Marte

Abstract

ABSTRACTThis research proposes a methodology capable of automaticallyand simultaneously detecting and delineating impact craters on thesurface of Mars. The proposal is based on mathematicalmorphology fundamentals and digital image processingtechniques. The methodology is composed of four sequentialsteps: (i) pre-processing and filtering to remove noise and enhancefeature edges, (ii) watershed segmentation and use of contourdynamics strategies for crater detection and delineation, (iii) postprocessingand detection refinement, and, finally, (iv)performance evaluation. The dataset consisted of cratersrepresented by high spatial resolution images of the surface ofMars, with 12.5 m/pixel resolution from the High ResolutionStereo Camera (HRSC) and 1 m/pixel resolution from the HighResolution Imaging Science Experiment (HiRISE). The resultspoint to overall true detection rates over 81% and false detectionrates between 10% and 13%. Therefore, we concluded that thepresent approach contributes to solving a current problem in thecontext of impact crater detection and delineation on the surfaceof Mars.