摘要
为分析图像压缩过程对遥感图像几何质量的影响,提出一种新的基于图像角点检测的图像几何质量评价方法。首先介绍经典Harris角点检测算法,然后针对Harris算法定位精度不高的缺点改进Harris算法:对角点响应函数进行曲面拟合后求拟合曲面极值点,以此作为图像亚像素级角点坐标,最后将改进的Harris算法应用到遥感图像几何质量评价系统中并将其与传统曲面拟合极值法比较。试验结果表明:该方法能精确反映遥感图像压缩前后的几何质量变化,可在航空遥感图像压缩质量评价系统中应用。
To study geometric quality influence of remote sensing image brought by image compressing system,a new image geometric quality assessment algorithm based on image corner is proposed.First,classic Harris corner detecting algorithm is introduced,then it is improved to solve its disadvantage of imprecise point location： fitting the surface of corner response function and evaluating peak location of the fitted surface to check the sub-pixel corner location.Finally,this algorithm is applied to geometric quality assessment system of remote sensing image,and is compared to traditional surface fitting extremum algorithm.The experimental results show that this algorithm can accurately express the aberration of geometric quality between original image and compressed one.So,it can be used into quality assessment system of aerial remote sensing image compression.
出处
《测绘学报》
EI
CSCD
北大核心
2011年第2期175-179,共5页
Acta Geodaetica et Cartographica Sinica
