The ship detection based on image fusion and processing technology
Ship detection has a very important role in the national economy and national security,as well as many other aspects of environmental protection.First,this article get the original optical remote sensing image.Then pretreated to remove interference noise and other adverse factors.Secondly,the target enhancement and use of structural elements size CRC adaptive control to extract the visual focus of interest.Applying the adaptive filter to extract a region of interest delineated feature information.Using image information fusion to detect ship target.Finally,experimental verification algorithms designed in this paper compared to traditional ship detection improves the detection rate.Even the presence of noise and other negative factors can effectively detect the target,and reduce the missing rate and false alarm rate.
NETL
NSTL
万方数据
维普
