摘要
基于遥感图像摄取过程中的特点，在模糊特征域上进行图像增强，然后引用反变换灰度图像中的熵信息进行阈值分割，最后给出了与其它两种熵阈值分割方法的比较实验．定性和定量分析结果证实了该方法在分割精度和运算速度方面所具有的优势．
Based on its characteristics, the remote sensing image was enhanced on its fuzzy property domain, then the threshold was selected by use of the entropy concept in gray image. Finally, a comparision with two other threshold selection methods was investigated quantitatively and qualitatively. The experimental results show that this method can segment the object from background precisely and quickly.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
1999年第1期73-76,共4页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金
863高科技基金
关键词
遥感图像
图像分割
模糊集
图像增强
机场目标
remote sensing image, image segmentation, fuzzy set, membership function, image enhancement.
