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Proceedings Paper

Impacts of different transformation models on remote sensing image registration accuracy based on implicit similarity
Author(s): Qin Ye; Yahui Yao; Popo Gui; Cuifang Ai
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Paper Abstract

How the different transformation models take effects on the registration accuracy based-on implicit similarity between the remote sensing images is the key point of this paper. For registration between SAR and optical imagery, analyze the imaging characteristic of push-broom optical satellite image and SAR image according to their imaging models; study the impacts taken by terrain fluctuation and different transformation models. The DEM and image pairs are simulated in the experiment, the results show: in region of bigger relief, the larger the registration image size, the greater impacts are taken by different transformation models on registration accuracy. Considering the polynomial transformation model leads to the low searching efficiency, affine transformation model regards as the best model for registration, but it has low accuracy and just applies to small images(such as 200x200). For large image (such as 800x800), 8-parameters transformation model is the best choice (balance accuracy and efficiency), but adding the parameters of transformation model (such as 12-parameters) again cannot significantly improve the registration accuracy.

Paper Details

Date Published: 6 August 2015
PDF: 11 pages
Proc. SPIE 9669, Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China, 96690D (6 August 2015); doi: 10.1117/12.2204788
Show Author Affiliations
Qin Ye, Tongji Univ. (China)
Yahui Yao, Tongji Univ. (China)
Popo Gui, Tongji Univ. (China)
Cuifang Ai, Tongji Univ. (China)

Published in SPIE Proceedings Vol. 9669:
Remote Sensing of the Environment: 19th National Symposium on Remote Sensing of China
Qingxi Tong; Boqin Zhu, Editor(s)

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