Journal
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
Volume 26, Issue 6, Pages 1291-1300Publisher
SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT
DOI: 10.1109/JSEE.2015.00141
Keywords
crater; automatic extraction; visual saliency; feature matching; edge detection
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Funding
- National Natural Science Foundation of China [61210012]
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Craters are salient terrain features on planetary surfaces, and provide useful information about the relative dating of geological unit of planets. In addition, they are ideal landmarks for spacecraft navigation. Due to low contrast and uneven illumination, automatic extraction of craters remains a challenging task. This paper presents a saliency detection method for crater edges and a feature matching algorithm based on edges information. The craters are extracted through saliency edges detection, edge extraction and selection, feature matching of the same crater edges and robust ellipse fitting. In the edges matching algorithm, a crater feature model is proposed by analyzing the relationship between highlight region edges and shadow region ones. Then, crater edges are paired through the effective matching algorithm. Experiments of real planetary images show that the proposed approach is robust to different lights and topographies, and the detection rate is larger than 90%.
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