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Ship Detection for Optical Remote Sensing Images Based on Visual Attention Enhanced Network
Ship detection plays a significant role in military and civil fields. Although some state-of-the-art detection methods, based on convolutional neural networks (CNN) have certain advantages, they still cannot solve the challenge well, including the large size of images, complex scene structure, a large amount of false alarm interference, and inshore ships. This paper proposes a ship detection method from optical remote sensing images, based on visual attention enhanced network. To effectivelydoi:10.3390/s19102271 fatcat:z3mpcf4355adhm7bg5bydrkfz4