According to problem of high false alarm rate in ship detection produced by clouds in optical remote sensing image,a detection algorithm based on serial-parallel and multi-feature fusion is proposed.First,the segmentation of ships and clouds is realized by Gaussian-gray-threshold,and the regions of binary image are marked.Then,the serial-parallel and multi-feature fusion algorithm is constructed by the geometric morphological and edge-energy characteristics,including center deviation degrees,length-width ratio,area changing ratio,sinuosity and degree of filling.False alarms caused by clouds are effectively eliminated though the comprehensive judgment of region of interesting (ROI),thus the problem of high false alarming rate is solved.The effectiveness of the algorithm is verified by the experiment results with multiple optical remote sensing satellite images of SPOT4.