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Title of Journal: J Earth Sci

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Abbravation: Journal of Earth Science

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Publisher

China University of Geosciences

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DOI

10.1016/j.ajo.2005.09.029

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1867-111X

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Automated rock detection and shape analysis from m

Authors: Kaichang Di Zongyu Yue Zhaoqin Liu Shuliang Wang
Publish Date: 2013/03/16
Volume: 24, Issue: 1, Pages: 125-135
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Abstract

A new objectoriented method has been developed for the extraction of Mars rocks from Mars rover data It is based on a combination of Mars rover imagery and 3D point cloud data First Navcam or Pancam images taken by the Mars rovers are segmented into homogeneous objects with a meanshift algorithm Then the objects in the segmented images are classified into small rock candidates rock shadows and large objects Rock shadows and large objects are considered as the regions within which large rocks may exist In these regions large rock candidates are extracted through groundplane fitting with the 3D point cloud data Small and large rock candidates are combined and postprocessed to obtain the final rock extraction results The shape properties of the rocks angularity circularity width height and widthheight ratio have been calculated for subsequent geological studies

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