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Proceedings Paper

Height correction based on multiple subimage correlation
Author(s): Rong Fan; Yuehuan Wang
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Paper Abstract

In this paper, a height correction approach is proposed based on multiple sub-image correlation in remote sensing and navigation systems. First, multiple subareas are selected in the reference image, combination of two of which consists of the two for height correction. Then the measured distance and real distance between two areas can be computed by correlation matching and perspective transformation model. With the distances, height deviation can be estimated for further processing. Considering the accuracy-loss caused by image blurring, noise, changes of scales and so on, the approach utilizes clustering method to improve accuracy. Experiments show that the proposed method can estimate the height deviation automatically and the accuracy of the proposed method is equivalent to that based on manually labeled.

Paper Details

Date Published: 14 December 2015
PDF: 7 pages
Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981314 (14 December 2015); doi: 10.1117/12.2210890
Show Author Affiliations
Rong Fan, Huazhong Univ. of Science and Technology (China)
Yuehuan Wang, Huazhong Univ. of Science and Technology (China)
National Key Lab. of Science and Technology on Multi-spectral Information Processing (China)


Published in SPIE Proceedings Vol. 9813:
MIPPR 2015: Pattern Recognition and Computer Vision
Tianxu Zhang; Jianguo Liu, Editor(s)

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