@inproceedings{e38f9e39b1cf4b48866f12bb96bfb146,
title = "SIFT based automatic ROI localization and designation",
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.",
keywords = "Improved RANSAC, ROI, SIFT, Transformation parameters",
author = "Fei Wang and Jishang Wei and Nanning Zheng and Yuehu Liu",
year = "2007",
doi = "10.1117/12.751043",
language = "英语",
isbn = "9780819469540",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2007",
note = "MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications ; Conference date: 15-11-2007 Through 17-11-2007",
}