摘要
高光谱影像的能量边缘提取方法的本质是利用高光谱信号的能量相似性与能量分布特征来寻找边缘,从能量边缘图可以提取属于不同地物类别的主要边缘,这些边缘都比较明显与完整。实验结果表明,能量边缘对噪声信号不敏感,与用其他方法寻找边缘的结果相比,能量边缘具有更好的效果。
The energy edge extraction method for super-spectral images is based on the characters of energy similarity and correlation between super-spectral signals. The energy edge map shows that the main edges between different ground objects can be detected, and these edges are not sensitive to noise. In comparison with other edge extraction methods, energy edge method is much more effective.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2006年第2期132-135,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(49971055)
关键词
高光谱影像
模拟遥感数据
能量边缘
super-spectral images
simulative remote sensing images, energy edge
