Ship detection based on optical remote sense images is an important application direction in the marine information perception. Its primary tasks include the fast detection of ship targets in a large view field and the further extraction and classification of the targets based on the ship detection. It is of great significance both in civilian and military applications. This paper reviews the main achievements in that field, focusing on the difficulties involved. Finally, the existing problems and the future development are discussed.

remote sensing image  /  ship detection  /  target recognition  /  feature extraction  /  deep learning