Abstract
In this paper, a novel method is proposed to extract rocks from Martian surface images by using data field. Data field is given to model the interaction between two pixels of a Mars image in the context of the characteristics of Mars images. First, foreground rocks are differed from background information by binarizing image on rough partitioning images. Second, foreground rocks is grouped into clusters by locating the centers and edges of clusters in data field via hierarchical grids. Third, the target rocks are discovered for the Mars Exploration Rover (MER) to keep healthy paths. The experiment with images taken by MER Spirit rover shows the proposed method is practical and potential.
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Wang, S., Chen, Y. (2011). Extracting Rocks from Mars Images with Data Fields. In: Tang, J., King, I., Chen, L., Wang, J. (eds) Advanced Data Mining and Applications. ADMA 2011. Lecture Notes in Computer Science(), vol 7120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25853-4_28
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DOI: https://doi.org/10.1007/978-3-642-25853-4_28
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