Sar Image Classification Using Fuzzy C-means
نویسندگان
چکیده
Image Classification is the evolution of separating or grouping an image into different parts. The good act of recognition algorithms based on the quality of classified image. The good feat of recognition algorithms based on the quality of classified image. An important problem in SAR image application is accurate classification. Image segmentation is the mainly practical loom among virtually all automated image recognition systems. Fuzzy c-means (FCM) is one of prominent unsupervised clustering methods, which can be used for Synthetic Aperture Radar (SAR) image classification. In this paper, we consider the problem of SAR image Classification by Fuzzy c-means technique. Here we proposed spatial information with the FCM clustering for improving the SAR image classification result. Hear two different fuzzy clustering techniques on SAR images that minimize two different objective functions for merging different region to get the classified SAR images.
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