摘要
提出了灰度游程长度累加矩阵模型,并用此模型对遥感图象的纹理进行分析和鉴别.使用本模型的七个纹理参数作特征,在六类地物类型210个样本上作实验,由此设计的分类器的识别率为98.6%.
A gray level run length sum matrix model is presented for the texture analysis and discrimination of a remote sense image. Seven texture parameters of this model are used for classifying six types of remote sense image over 210 samples. It's success percent is 98. 6 %.
出处
《西南师范大学学报（自然科学版）》
CAS
CSCD
1993年第3期275-279,共5页
Journal of Southwest China Normal University(Natural Science Edition)
关键词
数字图象
游程累加
纹理分析
统计
digital image
gray level run length sum
texture analysis
remote sense image
classifier
