The detection and identification of aircraft in high-resolution remote sensing image has important military and civilian value. Aiming at the difficulty of aircraft detection in remote sensing image, this paper proposes a fast detection method based on deep learning. This method avoids the problem of designing manual features in the traditional aircraft detection. It provides a more general and concise solution to solve the problem of aircraft detection in remote sensing image. The experimental results show that the detection accuracy of the method is 84.58%, and the recall rate is 89.3%, The detection speed reaches 50f/s. This method is reasonable and feasible. This paper also analyzes the errors in the detection and provides a reference for the next optimization.
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