Abstract: With the continuous development of high-resolution satellite remote sensing imaging technology,ship target detection based on visible remote sensing image has become a hot topic,which is of great strategic significance in military fields such as warship detection,precise guidance,and civilian fields such as sea search and rescue,fishing vessel monitoring,etc.Aiming at the problem that ship detection in remote sensing image is easy to be interfered by cloud,wave,island and other factors,which leads to high false alarm rate,a ship identification algorithm based on the characteristics of ship histogram of oriented gradient (S-HOG) is proposed.Firstly,the candidate region of the target is extracted by abnormal point detection to get the suspicious target slice,and then the S-HOG feature is counted to eliminate the false alarm,so as to effectively extract the real ship target.Experimental results show that the algorithm can significantly reduce the false alarm rate while ensuring high detection rate,and has strong anti-interference ability and high robustness.

Key words: Abnormal point detection, Remote sensing image, Ship detection, Ship histogram of oriented gradient, Target candidate region