SAR Image Segmentation Based on a New Clustering Algorithm

In this paper, a new method based on a new fuzzy clustering algorithm is proposed for segmentation of synthetic aperture radar (SAR) images. Image segmentation is an important step for remote-sensing applications. Nowadays, spectral clustering solves some K-means clustering problems and it is applied to SAR image segmentation. The proposed method, in comparison with previous clustering methods, presents less error percentage and more accurate SAR image segmentation.

Keywords:

SAR , image segmentation , clustering , K-Means