Characterization Classification And Identification Of Martian Specific Landform-Characters

Mars is the fourth planet from the Sun and the outer-most of the four terrestrial world in the solar system. Named by the ancient Romans for their bloody god of war, Mars is for many people the most intriguing of all celestial objects.With the dawn of the Space Age,scientists of various research fields have got the chance to learning the planet’s properties. Orbiters have performed large-scale surveys of much of the planet’s surface,lander data have complemented these planetwide studies with detailed information on the specific sits,the Mars Global Surveyor spacecraft (NASA) is one of them. This research, based on the survey data of MGS program,includes three important matters, characterization,classification and identification of Mars topographic surface specific landform-characters,especially for the impact craters and valles-canyons.As the research results show,we really hope our research in these fields can help corresponding scientific researches.Our research mainly focus on:1.Characterization of Martian topographic characters. We study several methods of discribing Mars specific landforms (impact craters and valles-canyons),qualitatively and quantitatively. Especially, this research shows a quantitative notion of "Openness" as an objective and very efficacious character description method.Besides, we also find that "Openness" can be used in other situations, such as Martian landforms classification as well as identification, and it also plays a very important role in the overall research.2.1n the second research field, we study the method of constructing Martian terrain patterns and the way of quarternary landforms classification. Based on the discussion of role of landforms classification in modern soil survey and soil-landscape studies, according to some existing Martian classification patterns, this research addresses a new Mars landforms classes pattern. And we find that this pattern overcomes some obvious drawbacks of other ones, it shows a clear, as well as easy-understanding way to interpret Mars specific landforms.3.Based on the special survey data attributes, we study the method of identification impact craters quantitatively,objectively and efficiently. Traditionally, the descriptive morphology has been used to study and categorize different types of martian landscapes.Various researchers have manually collected data sets of crater locations and characteristics,but such works are laborious process,and the results are incomplete. In order to overcoming these shortcomings, this research brings up a quantitative crater-detection technique. According to the final results, we find that it significantly speeds up the rate of building the data sets and provides means for an objective and repeatable process for performing the analysis.