摘要
以高分辨率卫星遥感全色影像为数据源,根据阴影区在影像上的灰度与梯度特征,研究了它与水系、建筑物、绿地、道路等地物类型的区别,描述了阴影边界与太阳方位角的关系,并在此基础上针对实验数据提取阴影区.结果表明,所采用的方法能有效地识别影像中的阴影.
Employing high spatial resolution remotely sensed satellite panchromatic imagery as data source, this paper studies the distinction of shadows with waters, buildings, greenbelts and roads etc. in imagery features such as gray and gradient. Then the relation of shadow edge and solar azimuth is described. Shadow extraction is performed in experiment data. The result shows that the method used in this paper can effectively extract shadow regions.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
北大核心
2008年第5期677-682,共6页
Journal of Fuzhou University(Natural Science Edition)
基金
国家重点基础研究发展计划资助项目(2006CB708306)
关键词
高分辨率卫星影像
阴影检测
梯度特征
high resolution satellite imagery
shadow detection
gradient characteristics
