摘要
极化合成孔径雷达(POLSAR)由于其能对目标进行更为全面的极化信息的描述,已经成为SAR领域中最先进的传感器之一。本文对模糊集理论中的三种模糊聚类算法进行了系统全面的阐述,并重点研究了基于模糊可能性C均值算法(FPCM)的极化SAR非监督分类方法。
PoIarimetric synthetic aperture radar （POLSAR） has become one of the most advanced remote sensors in recent years, because it can describe more comprehensive scatter infor- mation for targets. We expound the fuzzy clustering algorithms of the fuzzy set theory. Finally, we focus on the unsupervised classification of the spolarimetric SAR data based on the target scattering mechanism
出处
《测绘地理信息》
2014年第5期80-82,共3页
Journal of Geomatics
关键词
影像分类
极化SAR
模糊算法
非监督分类
image classification
polarimetric SAR
fuzzy algorithm
unsupervised classification
