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Proceedings Paper

SIFT based automatic ROI localization and designation
Author(s): Fei Wang; Jishang Wei; Nanning Zheng; Yuehu Liu
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Paper Abstract

There is a rapid increase of remote sensing images in the repositories. While for certain purposes, we just need the region of interest (ROI). In this paper, SIFT is applied for feature extraction, descriptor generation and point matching with strict criterions to locate ROI. With the robust matching pairs of points, a simple approach for computing scale, rotation and translation separately is proposed. To solve the parameters, we introduce an improved RANSAC algorithm with two cost functions to achieve rapid computation efficiency. The method for ROI localization and designation performs great in a series of experiments and satisfying results can be seen.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903D (14 November 2007); doi: 10.1117/12.751043
Show Author Affiliations
Fei Wang, Xi'an Jiaotong Univ. (China)
Jishang Wei, Xi'an Jiaotong Univ. (China)
Nanning Zheng, Xi'an Jiaotong Univ. (China)
Yuehu Liu, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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