NDLI: Affine & scale-invariant heterogeneous pyramid features for automatic matching of high resolution pushbroom imagery from Chang’e 2 satellite

Content Provider	Springer Nature Link
Author	Yang, Sheng Zhu, Shibing Li, Zhenju Li, Xuejun Liu, Tao Wang, Jue Xie, Jianwei
Copyright Year	2016
Abstract	The automatic feature extracting and matching for large amount of linear pushbroom imagery with higher and higher resolution is urgent and challenging in three dimensional reconstructions, remote sensing and mapping. Affine & scale-invariant heterogeneous pyramid feature is proposed in this paper, along with the new scale-invariant analysis method, the detecting of the key points, the affine & scale-invariant descriptor, the steering method of the matching, and the quasi-dense matching algorithm based on the extensive epipolar geometry. The automatic matching is devised for the linear pushbroom imagery. The whole process is executed on lunar images of the highest resolution of ~7 m/pixel (or ~1 m/pixel in the lower orbits) from the Chinese Chang’e 2 satellite, it runs robustly at present, and resulting in large amounts of well-distributed-correspondences with accuracy of 0.3 pixels and excellent reliability, which gives great support for the further exploration both on the Moon and the Earth.
Starting Page	716
Ending Page	726
Page Count	11
File Format	PDF
ISSN	1674487X
Journal	Journal of Earth Science
Volume Number	27
Issue Number	4
e-ISSN	1867111X
Language	English
Publisher	China University of Geosciences
Publisher Date	2016-01-27
Publisher Place	Wuhan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	image matching linear pushbroom imagery epipolar geometry quasi-dense matching Earth Sciences Geotechnical Engineering & Applied Earth Sciences Biogeosciences Geochemistry Geology
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences

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