A moving ship detection method is presented for ocean moving objects detection of remote sensing satellite in geostationary orbit. First, the multi-structural and multiscale element morphological filter is used to suppress background information of oceanic remote sensing images. Then, image segmentation is done by adopting the adaptive threshold algorithm. Accordingly, the connected domains of pre-detection targets are obtained by utilizing self-organized clustering. Finally, real targets from many candidate targets can be obtained by multi-object variable region decision based on moving targets feature. The experiment results and analysis show that the proposed method can detect moving warship targets and the trajectories of moving targets efficiently, and has high detection probability and robustness. This method provides technical support for on-board image processing of remote sensing satellite in geostationary orbit.
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