Ship detection based on surface fitting modeling for large range background of ocean images

摘要

For the seawater background interference problem in ship detection of high resolution remote sensing images, the characteristics of seawater background are analyzed deeply in this paper. And it's found that there is consistent in local but continuous variation in large range. On the basis of above analysis, a Gauss variable surface seawater background model for high resolution remote sensing images is built, and the estimation of mean surface and variance surface are also given. Then, a novel ship detection method based on sea background statistical modeling is proposed for large range high resolution remote sensing images. The experimental results show the feasibility of our proposed method in sea background modeling and target detection for different kinds of high resolution remote sensing images. Compared with the other relative method, the proposed method has higher recall rate and lower missing rate.