Automated Seamless Mosaicking of Multi-Strip Data from CBERS-02C Imagery

DOI

10.2991/rsete.2013.124How to use a DOI?

Keywords

CBERS-02C, multi-strip images, geometrical correlation, seamless mosaicking

Abstract

Since CBERS-02C was successfully launched on December 22, 2011, the data of this satellite has been widely used in many fields. One of the most applicable products is the high-resolution mosaicked image which is covered by a combination of 6 charge-coupled device (CCD) line sensors, each with 4096 pixels. This paper proposes an automated seamless mosaicking method to stitch the 6 strips of images efficiently. The entire process employs technical methods including image geometric correction based on Rational Function Model (RFM), image mosaicking and weight-based image feathering. The three processes can be realized in one step without any second resampling of the data. The experimental result indicates that the method is feasible and of relatively high efficiency. The presented method has also been successfully applied to the automatic data processing system of CBERS-02C satellite.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chen Qi
AU  - Sun Mingwei
PY  - 2013/08
DA  - 2013/08
TI  - Automated Seamless Mosaicking of Multi-Strip Data from CBERS-02C Imagery
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 511
EP  - 514
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.124
DO  - 10.2991/rsete.2013.124
ID  - Qi2013/08
ER  -