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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 highresolution 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. Index Terms CBERS-02C, multi-strip images, geometrical correlation, seamless mosaicking.

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