@inproceedings{1798806206844bdc8a42f386ffdcf05d,
title = "Robust feature based multisensor remote sensing image registration algorithm",
abstract = "The crucial problem of multisensor remote sensing image registration is how to establish the reliable correspondences between the features extracted from two images. The feature similarity based methods fail when similar local regions exist, and the spatial relationship methods fail to match small portion of pair wise correspondences out of the total number of features. In this paper, we proposed shape context as feature similarity and overlap error as spatial relationship to construct an objective function for the feature matching problem, and deterministic annealing (DA) is used to solve the optimization problem. Feature matching experiments with real remote sensing images demonstrate the superiority of our algorithm over the 5 classic feature matching algorithms, and registration results outperform the popular image registration algorithms.",
keywords = "Multisensor image registration, deterministic annealing (DA), feature matching, overlap error, shape context",
author = "Yan Guo and Jinwei Wang and Weizhi Zhong and Yanfeng Gu",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 7th International Symposium on Computational Intelligence and Design, ISCID 2014 ; Conference date: 13-12-2014 Through 14-12-2014",
year = "2015",
month = mar,
day = "19",
doi = "10.1109/ISCID.2014.105",
language = "英语",
series = "Proceedings - 2014 7th International Symposium on Computational Intelligence and Design, ISCID 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "319--322",
booktitle = "Proceedings - 2014 7th International Symposium on Computational Intelligence and Design, ISCID 2014",
address = "美国",
}