@inproceedings{ec6c9614c3264008828a7a18555c6d10,
title = "Remote sensing image registration algorithm based on partial covariance matrix",
abstract = "Image registration is a prerequisite for accomplishing high level tasks such as image fusion, surface reconstruction, change detection, and object recognition. To achieve multisensor remote sensing image registration, a remote sensing image registration algorithm based on partial covariance matrix is presented in this paper. The partial contour covariance matrix and adaptive optimal window selection technology are introduced into the registration processing to reduce the impact of rotation factor and scale factor, which can enhance the robustness of the registration algorithm. Experiment results demonstrate the efficiency and the accuracy of the proposed algorithm for multi-sensor remote sensing image registration.",
keywords = "Covariance matrix, Image processing, Image registration, Remote sensing",
author = "Wang, \{Peng Bo\} and Liu, \{Yue Shan\} and Li, \{Jin Cheng\} and Wei, \{Xue Yun\}",
year = "2012",
doi = "10.1049/cp.2012.2431",
language = "英语",
isbn = "9781849196413",
series = "IET Conference Publications",
number = "636 CP",
booktitle = "IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012",
edition = "636 CP",
note = "IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012 ; Conference date: 07-12-2012 Through 09-12-2012",
}