摘要: 提出了一种基于融合及数学形态学的遥感图像目标检测的新方法。在分析了steerable金字塔变换特性的基础上,采用合理的融合规则将两幅遥感图像进行融合,得到了目标更为清晰的增强图像,有利于进一步的目标检测。然后再利用数学形态学方法及目标的特征对融合后的目标进行检测,得到了满意的检测效果,实验结果表明了本文所提方法的有效性。
关键词:
遥感图像,
图像融合,
Steerable金字塔变换,
数学形态学,
目标检测
Abstract: This paper proposes a novel approach based on image fusion and mathematics morphology The characteristics of steerable pyramid are described and the original images are fused using steerable pyramid transform technique based on effective fusion scheme. The targets can be enhanced and clearer in fused image. Finally, mathematical morphology method are applied to detect the target based on fused image. The experimental results show that the effect of the method is satisfactory.
中图分类号:
强赞霞,彭嘉雄. 基于融合及数学形态学的遥感图像目标检测[J]. , 2005, 31(10): 43-.
QIANG Zanxia1,2, PENG Jiaxiong1. Target Detection Using Image Fusion and Mathematics Morphology[J]. , 2005, 31(10): 43-.