摘要
针对应用PCNN分割高空间分辨率光学卫星影像存在的问题,提出一种双模态PCNN算法。利用北京地区QuickBird影像进行实验,结果表明,该算法能够弱化影像目标内部灰度变化信息对结果的影响,并能提取影像目标几何结构特征信息,为高空间分辨率光学卫星影像分割提供了一种新方法。
A double-mode PCNN was proposed to segment the high spatial resolution optical satellite image. Experiments were carried out on a subset of QuickBird image covering Beijing. Results showed that this algorithm could alleviate the negative impact on segmentation due to spectral variations of the target, and well keep geometrical information of the target. It provides a promising tool for high spatial resolution optical satellite image segmentation.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2008年第3期322-325,共4页
Geomatics and Information Science of Wuhan University
基金
中国科学院知识创新工程重大资助项目(KZCX2-YW-313)
国家863计划资助项目(2006AA12Z130)