SIFT based automatic ROI localization and designation

Fei Wang; Jishang Wei; Nanning Zheng; Yuehu Liu

doi:10.1117/12.751043

14 November 2007 SIFT based automatic ROI localization and designation

Fei Wang, Jishang Wei, Nanning Zheng, Yuehu Liu

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903D (2007) https://doi.org/10.1117/12.751043
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Fei Wang, Jishang Wei, Nanning Zheng, and Yuehu Liu "SIFT based automatic ROI localization and designation", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903D (14 November 2007); https://doi.org/10.1117/12.751043

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