摘要
在高分辨率遥感卫星影像RPC模型纠正过程中,有理函数参数的解算是问题的关键,为了克服该算法的误差方程经法化后存在严重病态的问题,提出了SVD算法,即奇异值分解法。根据精度评定的计算结果看到,SVD对处理奇异或者近似奇异的方程组或矩阵都非常有效,保证RPC纠正精度。
It presents the RPC rectification model for high resolution remote sensing images. The key to RPC model is a rational function model. Under the RPC rectification, the key problem is how to calculate the coefficients,because the normal coefficient matrix is singular. In order to solve this problem, it offers the SVD algorithm. Based on the results from tests, the SVD algorithm proves to be effective to calculate singular matrix, and guarantees the rectification precision.
出处
《测绘工程》
CSCD
2007年第2期30-32,共3页
Engineering of Surveying and Mapping
基金
上海市科委重点课题资助(05DZ12006)
