长江科学院院报2016，Vol.33Issue(11)：28-31,4.DOI:10.11988/ckyyb.20160820
基于谱聚类的极化SAR影像分割改进算法
Polarimetric SAR Image Segmentation Algorithm by Spectral Clustering
摘要
Abstract
Image segmentation by spectral clustering is a clustering method based on points. It is characterized by the use of similarity measure matrixes. We usually need to calculate the similarity matrixes between every two cells, which consumes huge computation task and a lot of time when processing large images. To solve this problem, we propose an improved method. First, we use mean shift algorithm for polarimetric SAR image, and then select center pixel to construct similarity measure matrix. At last, we use the normalized segmentation rule for image segmenta-tion. Computation experiment proves that the algorithm could improve the efficiency with high accuracy and satisfac-tory result, hence is of practical significance.关键词
谱聚类/均值漂移/极化SAR/图像分割/边缘检测Key words
spectral clustering/mean shift/Polarimentric SAR/image segmentation/edge detection分类
信息技术与安全科学引用本文复制引用
魏思奇,张煜,叶松..基于谱聚类的极化SAR影像分割改进算法[J].长江科学院院报,2016,33(11):28-31,4.基金项目
云南省水利重大科技项目(CKSK2015852/KJ) （CKSK2015852/KJ）
