TITLE:
A Real Time Mosaic Method for Remote Sensing Video Images from UAV
AUTHORS:
Yang Yang, Guangmin Sun, Dequn Zhao, Bo Peng
KEYWORDS:
Image Mosaic; SIFT Algorithm; Feature Matching
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
17,
2013
ABSTRACT: At present, in order to
get a large field of view image, image mosaic technique has been widely applied
in UAV remote sensing platform. The traditional mosaic system for UAV remote
sensing image takes a lot of time and man power, it is difficult to complete
the image stitching automatically. In the paper, an approach for geometric
correction of remote sensing image without any ground control points is
presented, and the SIFT algorithm is used to extract and match feature points. Finally, the weighted
average fusion method is used to smooth the image after splicing and an
automatic mosaic system for UAV remote sensing video images is developed. In
order to verify the system, some splicing ex-periments using UAV actual aerial
photography images have been done and good results have been achieved.