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Proceedings Paper

An illumination and affine invariant descriptor for aerial image registration
Author(s): Zhaoxia Liu; Yaxuan Wang; Yu Jing; Jing Zhao; Jingjing Wang
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Paper Abstract

An illumination and affine invariant descriptor is proposed for registering aerial images with large illumination changes and affine transformation, low overlapping areas, monotonous backgrounds or similar features. Firstly, triangle region is detected by K-nearest neighbors (K-NN) graph of initial matched result by Scale-Invariant Feature Transform (SIFT). In order to improve the accuracy, region growth is applied to boost small and slender triangles. Then illumination and affine invariant descriptor is defined to describe triangle regions and measure their similarity. The descriptor named as IIMSA is the combination of MultiScale Autoconvolution (MSA) and multiscale retinex (MSR). The performance of the descriptor is evaluated with optical aerial images and the experimental results demonstrate that the proposed descriptor IIMSA is more distinctive than MSA and SIFT.

Paper Details

Date Published: 30 November 2012
PDF: 6 pages
Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85580Z (30 November 2012); doi: 10.1117/12.999387
Show Author Affiliations
Zhaoxia Liu, Dalian Univ. of Foreign Languages (China)
Yaxuan Wang, Dalian Univ. of Foreign Languages (China)
Yu Jing, Dalian Univ. of Foreign Languages (China)
Jing Zhao, Dalian Univ. of Foreign Languages (China)
Jingjing Wang, Liaoning Police Academy (China)


Published in SPIE Proceedings Vol. 8558:
Optoelectronic Imaging and Multimedia Technology II
Tsutomu Shimura; Guangyu Xu; Linmi Tao; Jesse Zheng, Editor(s)

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