When the current method is used to enhance the interactive remote sensing thermal infrared image,the interactive remote sensing thermal infrared image is not clustered and segmented,resulting in poor visual effect,poor anti noise performance,and low enhanced efficiency of the enhanced interactive remote sensing thermal infrared image.Therefore,an interactive remote sensing thermal infrared image fuzzy enhancement method based on clustering segmentation is proposed.The fuzzy C means clustering algorithm is used to cluster and segment the interactive remote sensing thermal infrared image,which improves the ability to recognize special and weak targets,and shorten the time required to enhance an interactive remote sensing thermal infrared image.The median filter method is adopted to remove the noise in the interactive remote sensing thermal infrared image,and the Sobel operator and the Laplacian of the second order differential operator are conducted to sharpen the denoised interactive remote sensing thermal infrared image.The fuzzy enhancement of interactive remote sensing thermal infrared image is realized through image denoising and image sharpening.The simulation experiment shows that the proposed method performs interactive remote sensing thermal infrared image blur enhancement to obtain higher image clarity,better anti noise performance,and higher enhancement efficiency.