Parallel Processing for Detection of Lunar Crater Morphometry-A Review

Craters appears on the lunar's surface in high density and the most interesting landform features of any planetary surface. Craters are important landform features on the lunar surface. Hence, detection and analyzing quantitative information (Morphometric) are key role of present day research. Morphometric measuring are useful for understating formation and evolution of surface features. It is also useful for landing site identification, counting, age determination, etc. Nowadays remote sensing orbital missions play a major role in mapping the entire surface of the planet. Lunar orbital data are huge in size and resolutions are significantly higher. Analyzing these data sets requires higher computational power. High performance computers provide higher computational power and getting output in real time. This review paper focuses on automatic identification of lunar crater and morphometric parameters (morphometry) using lunar orbital data sets using parallel computing approach.