Sažetak
Crater detection algorithms’ (CDAs) applications range from approximating the age of a planetary surface and autonomous landing to planets and asteroids to advanced statistical analyses [ASR, 33, 2281-2287]. A large amount of work on CDAs has already been published. However, problems arise when evaluation results of some new CDA have to be compared with already published evaluation results. The Framework for Evaluation of Crater Detection Algorithms (FECDA) was recently proposed as an initial step for solving the problem of objective evaluation of CDAs [ASR, in press, doi:10.1016/j.asr.2007.04.028]. The framework includes: (1) a definition of the measure for differences between craters ; (2) test-field topography based on the 1/64◦ MOLA data ; (3) the Ground Truth (GT) catalogue wherein each of 17582 impact craters is aligned with MOLA data and confirmed with catalogues by N. G. Barlow et al. and J. F. Rodionova et al. ; (4) selection of methodology for training and testing ; and (5) a Free-response Receiver Operating Characteristics (F-ROC) curves as a way to measure CDA performance.
Ključne riječi
image processing crater detection
