17 October 2013 Multi-source remote-sensing image matching based on epipolar line and least squares
Author Affiliations +
Abstract
In remote sensing image applications, the image matching is a very key technology, its quality directly related to the quality of the subsequent results. This paper studied an improved SIFT features matching method for muili-source remote-sensing image registration based on GPU computing, epipolar line and least squares, its main purpose is to take both accuracy and efficiency into consideration. This method is firstly based on tonal balanced methods matching, and then exracts SIFT features based on the GPU computing technology, and then matchs feature points based on epipolar line and least squares matching method with RANSAC method, finally analies error sources of SIFT mismatch, researchs an improved SIFT mismatch reduce strategy.The experimental results prove that the method can effectively improve the efficiency and precision of SIFT feature matching.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Chen, Peng Chen, Zhihua Mao, Zhihua Mao, Jianyu Chen, Jianyu Chen, Xiaoping Zhang, Xiaoping Zhang, Zifeng Li, Zifeng Li, } "Multi-source remote-sensing image matching based on epipolar line and least squares", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88921N (17 October 2013); doi: 10.1117/12.2030097; https://doi.org/10.1117/12.2030097
PROCEEDINGS
7 PAGES


SHARE
Back to Top