摘要
面向对象的遥感信息提取,首要任务是对遥感影像进行分割,分割的目的在于把原始图像分割成一些在空间上相邻、光谱相似的同质区域。传统的分水岭变换对噪声敏感,易产生过分割现象,不能直接适用于遥感影像的信息提取。本文利用非线性同组滤波方法(PGF)消除原始影像噪声,根据高分辨率遥感影像地物的异质性特征,对分水岭初始分割结果进行异质性准则合并。实验结果表明,该方法对高分辨率遥感影像的分割效果良好,能够适用于面向对象的信息提取。
This paper used nonlinear filtering method of PGF to eliminale image noise, and then merged the initial results of watershed transformation based on the heterogeneity of lhe bigh-resolution remote sensed image features. Results of experiments demonstrated that this method would be good for the high-resolution remote sensed image segmentation and could be applied in object-oriented information extraction.
出处
《测绘科学》
CSCD
北大核心
2014年第3期19-22,共4页
Science of Surveying and Mapping
基金
国家自然科学基金(40901229)
关键词
高分辨遥感影像
图像分割
PGF滤波
分水岭变换
异质性合并
high-resolution remote sensed image
image segmentalion
PGF filtering
watershed transformation
heterogeneity merging
