1. Affine & scale-invariant heterogeneous pyramid features for automatic matching of high resolution pushbroom imagery from Chang’e 2 satellite
- Author
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Xuejun Li, Tao Liu, Sheng Yang, Jue Wang, Jianwei Xie, Zhenju Li, and Shibing Zhu
- Subjects
Matching (statistics) ,Pixel ,business.industry ,Epipolar geometry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,0211 other engineering and technologies ,02 engineering and technology ,010502 geochemistry & geophysics ,01 natural sciences ,Feature (computer vision) ,Computer Science::Computer Vision and Pattern Recognition ,General Earth and Planetary Sciences ,Computer vision ,Satellite ,Pyramid (image processing) ,Affine transformation ,Artificial intelligence ,business ,Blossom algorithm ,Geology ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Remote sensing - 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.
- Published
- 2016