Title :
Crater Detection by a Boosting Approach
Author :
Martins, Rui P. ; Pina, P. ; Marques, Jorge S. ; Silveira, Margarida ; Silveira, Margarida
Author_Institution :
Inst. Super. Tecnico, Lisbon
Abstract :
An approach to automatically detect impact craters on planetary surfaces is presented in this letter. It is built up from a boosting algorithm proposed by Viola and Jones (2004) whose simplicity combined with an original learning strategy leads to a fast and robust process with consistent results. The approach is validated with image data sets from Mars surface captured by the Mars Orbiter Camera onboard Mars Global Surveyor probe.
Keywords :
Mars; astronomical image processing; astronomical techniques; feature extraction; image classification; planetary surfaces; Mars Global Surveyor probe; Mars Orbiter Camera; Mars surface image data sets; boosting approach; impact craters detection; learning strategy; Automatic detection; Mars; boosting; impact craters; learning;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Conference_Location :
12/16/2008 12:00:00 AM
DOI :
10.1109/LGRS.2008.2006004
