In order to improve the effect of remote sensing image enhancement,an improved bacterial foraging algorithm is proposed.Firstly,the bacterial is updated based on the adaptive step size of the double sigmoid membership function,global search is carried out in the early stage,and followed by the local search in the later stage.Secondly,the bacteria reproduction and migration are updated based on fission algorithm and double Gaussian function.Then,different enhancement methods are adopted for the low frequency and high frequency parts of the remote sensing image.The contrast of the low frequency part is improved to smooth the image,and the high frequency part is denoised enhancing highlights the edge contour.Finally,the process flow is given.The experimental simulation shows that the proposed algorithm enhances the sharpness of remote sensing image,with an average value of information entropy of 7.158 and an average value of clarity of 28.59,which is better than other algorithms.