@inproceedings{0d49fc86f5214586a89afc881a338abc,
title = "Image registration among UAV image sequence and Google satellite image under quality mismatch",
abstract = "In this paper, we developed an Unmanned Aerial Vehicle (UAV) image registration system consisting of UAV image to UAV image registration, UAV image to Google satellite image registration, and registration refinement with a normalized variant of mutual information for quality mismatch problem. We show the limitation of the conventional mutual information for quality mismatch and then suggest using a normalized variant of mutual information to refine registration between UAV image and Google satellite image. Experiments carried out on the realistic UAV image sequence and Google satellite image show that the developed system could provide better UAV-to-satellite image registration and could conquer the quality mismatch problem.",
keywords = "image registration, mutual information, quality mismatch",
author = "Huang, {Shih Ming} and Ching-Chun Huang and Chou, {Cheng Chuan}",
year = "2012",
doi = "10.1109/ITST.2012.6425189",
language = "English",
isbn = "9781467330701",
series = "2012 12th International Conference on ITS Telecommunications, ITST 2012",
pages = "311--315",
booktitle = "2012 12th International Conference on ITS Telecommunications, ITST 2012",
note = "2012 12th International Conference on ITS Telecommunications, ITST 2012 ; Conference date: 05-11-2012 Through 08-11-2012",
}