High-Precision Measurement of 3-D Rock Morphology on Mars Using Stereo Rover Imagery
Published in IEEE Geoscience and Remote Sensing Letters, 2022
Fine-scale 3-D morphological features of rocks on the Martian surface provide important clues to Mars exploration missions and scientific discoveries. To obtain such information, an automatic approach for high-precision measurement of 3-D morphological features of Martian rocks is proposed in this letter. The approach directly detects 3-D rocks from dense point cloud that is generated by interpolating triangulated irregular network (TIN) model, through a coarse-to-fine process combining cloth simulation filtering (CSF) and connected-component labeling algorithms. Multiple 3-D morphological features are then precisely extracted by modeling rock points and fitting local ground plane. Experimental results demonstrate that the proposed approach provides an effective way for the extraction of complete 3-D rocks and comprehensive morphological features with over 90% accuracy.
Recommended citation: Zhouxuan Xiao, Linzhou Zeng, Yuan Li, Jie Shao, Chaohua Ma, Wuming Zhang, Man Peng. (2022). "High-Precision Measurement of 3-D Rock Morphology on Mars Using Stereo Rover Imagery." IEEE Geoscience and Remote Sensing Letters. Vol.19, 1-5.
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