Segmenting the large size remote sensing image based on fuzzy clustering

Abstract

Remote sensing image clustering is the issue that is interested by remote sensing researchers. Remote sensing image can have multi bands and high resolution. There are multi algorimths as K-Means, C-Means, Watersed, ...Therein, Fuzzy C-Means (FCM) is estimated very hight because it can cluster by using fuzzy logic. However, this method has problem when clustering images with large size as remote sensing image. In addition, results of clustering dependences the enhancement of image very much. This paper presents a technique which improves the algorimth FCM to execute remote sensing image with large.