摘要
推导了SI-Harris算子(尺度不变Harris算子)的理论公式,并将其应用于遥感图像的点特征提取。重点对Harris算子与SI-Harris算子在不同空间分辨率遥感图像上的点特征提取进行实验比较,利用"重复率"指标对实验结果进行定量评价。实验表明:SI-Harris算子"重复率"较Harris算子有明显提升,可用于不同空间分辨率遥感图像的点特征提取,进而可服务于不同空间分辨率遥感图像的匹配。
Scale Invariant Harris（ SI-Harris） was applied to detecting interest points on remotely-sensed images and its rigorous formulas were derived. Then, the focus of the paper was put on the experimental comparisons between the results obtained by Harris and SI-Harris on different resolution remote sensing images. The repeatability rate was used to quantitatively evaluate the experiment results. The experiments indicate that, the repeatability rate of SI-Harris was obvious higher than Harris＇s. SI-Harris can be used to detect interest points on different resolution remote sensing images and then can serve the matching of different resolution images.
出处
《测绘科学技术学报》
CSCD
北大核心
2014年第4期383-387,共5页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41101396
41001262)
