聚类分割的交互式遥感热红外图像模糊增强北大核心CSCD

交互式遥感热红外图像在边缘区域的像素呈现较强交互干扰,缺少必要区分过程,导致增强后的交互式遥感热红外图像视觉效果差、抗噪性能差、增强效率低。提出基于聚类分割的交互式遥感热红外图像模糊增强方法,采用模糊C均值聚类算法,对交互式遥感热红外图像聚类分割处理,对边缘区域特殊及弱小交互目标分割,进一步区分交互区域的干扰,缩短后期增强所用的时间。采用中值滤波方法去除交互式遥感热红外图像中存在的噪声,结合Sobel算子和二阶微分算子的拉普拉斯算子对去噪后的交互式遥感热红外图像进行锐化处理,通过图像去噪和图像锐化实现交互式遥感热红外图像的模糊增强。仿真实验可知,所提方法进行交互式遥感热红外图像模糊增强所获取的图像清晰度较高、抗噪性能较佳、增强效率较高。

Fuzzy enhancement of interactive remote sensing thermalinfrared image based on clustering segmentation

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.