Automatic detection and classification of fault scarps on MOLA data
نویسندگان
چکیده
Introduction: The mapping of lineaments from digital remote sensing data is one of the techniques used in the structural and tectonic characterization of a planet. Lineament mapping on Mars is traditionally made using digital imagery [1,2]. MOLA altimetry data was also used to the visual interpretation and extraction of tectonic features from Mars surface [3]. All these works rely on traditional visual analysis and interpretation which is a time consuming and subjective task. We propose the use of an automatic and quantitative method, which allows the suppression of the subjectivity inherent to the process of traditional tectonic lineament mapping.
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