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Visual feature extraction for lunar surface images

Authors: Guicai Wang; Jianguo Tang; Ying Hou;

Visual feature extraction for lunar surface images

Abstract

Visual feature extraction is foundation of lunar surface topography reconstruction. The paper studies visual feature extraction for lunar surface images, and then offers the visual feature extraction algorithm for lunar surface images. The experimental results show that the algorithm has good adaptability to illumination change, scale change and rotation transformation in the lunar unstructured environment. Meanwhile, the paper can extract the more accurate visual features of lunar surface images.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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